{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T22:00:36Z","timestamp":1769896836281,"version":"3.49.0"},"reference-count":90,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Grant No. 72371049"],"award-info":[{"award-number":["Grant No. 72371049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Liaoning Province Applied Basic Research Program Project","award":["Grant No. 2023JH2\/101300208"],"award-info":[{"award-number":["Grant No. 2023JH2\/101300208"]}]},{"name":"Dalian High Level Talents Innovation Support Plan","award":["Grant No. 2021RD01"],"award-info":[{"award-number":["Grant No. 2021RD01"]}]},{"name":"Dalian High Level Talents Innovation Support Plan","award":["Grant No. 72571041"],"award-info":[{"award-number":["Grant No. 72571041"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Syst Front"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s10796-025-10654-7","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T08:30:18Z","timestamp":1761726618000},"page":"2599-2629","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How Long do the Heart Failure Inpatients Stay in ICU? Temporal Comorbidity Networks to Assist Clinical Decision Support Systems"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8689-9414","authenticated-orcid":false,"given":"Ye","family":"Liang","sequence":"first","affiliation":[]},{"given":"Yalong","family":"Cao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5155-1297","authenticated-orcid":false,"given":"Chonghui","family":"Guo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6924-9689","authenticated-orcid":false,"given":"Hailin","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,29]]},"reference":[{"issue":"4","key":"10654_CR1","doi-asserted-by":"publisher","first-page":"3691","DOI":"10.1016\/j.asej.2021.02.018","volume":"12","author":"MA Abd-Elrazek","year":"2021","unstructured":"Abd-Elrazek, M. A., Eltahawi, A. A., Abd Elaziz, M. H., & Abd-Elwhab, M. N. (2021). Predicting length of stay in hospitals intensive care unit using general admission features. Ain Shams Engineering Journal, 12(4), 3691\u20133702.","journal-title":"Ain Shams Engineering Journal"},{"key":"10654_CR2","doi-asserted-by":"crossref","unstructured":"Akhtar, M. U., Liu, J., Liu, X., Ahmed, S., & Cui, X. (2023). Nrand: an efficient and robust dismantling approach for infectious disease network. Information Processing and Management, 60(2), Article 103221.","DOI":"10.1016\/j.ipm.2022.103221"},{"issue":"12","key":"10654_CR3","doi-asserted-by":"publisher","first-page":"5793","DOI":"10.1109\/JBHI.2022.3202178","volume":"26","author":"S Ali","year":"2022","unstructured":"Ali, S., El-Sappagh, S., Ali, F., Imran, M., & Abuhmed, T. (2022). Multitask deep learning for cost-effective prediction of patient\u2019s length of stay and readmission state using multimodal physical activity sensory data. IEEE Journal of Biomedical and Health Informatics, 26(12), 5793\u20135804.","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"10654_CR4","doi-asserted-by":"crossref","unstructured":"American Diabetes Association. (2021). Cardiovascular disease and risk management: Standards of medical care in diabetes\u20142021. Diabetes Care, 44(Supplement_1),S125\u2013S150.","DOI":"10.2337\/dc21-S010"},{"issue":"32","key":"10654_CR5","doi-asserted-by":"publisher","first-page":"3005","DOI":"10.1093\/eurheartj\/ehac248","volume":"43","author":"PM Becher","year":"2022","unstructured":"Becher, P. M., Lund, L. H., Coats, A. J. S., & Savarese, G. (2022). An update on global epidemiology in heart failure. European Heart Journal, 43(32), 3005\u20133007.","journal-title":"European Heart Journal"},{"key":"10654_CR6","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.ijnurstu.2019.05.015","volume":"97","author":"D Beeckman","year":"2019","unstructured":"Beeckman, D., Serraes, B., Anrys, C., Van Tiggelen, H., Van Hecke, A., & Verhaeghe, S. (2019). A multicentre prospective randomised controlled clinical trial comparing the effectiveness and cost of a static air mattress and alternating air pressure mattress to prevent pressure ulcers in nursing home residents. International Journal of Nursing Studies, 97, 105\u2013113.","journal-title":"International Journal of Nursing Studies"},{"issue":"3","key":"10654_CR7","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1111\/ggi.12471","volume":"16","author":"M Bo","year":"2016","unstructured":"Bo, M., Fonte, G., Pivaro, F., Bonetto, M., Comi, C., Giorgis, V., Marchese, L., Isaia, G., Maggiani, G., Furno, E., & Isaia, G. C. (2016). Prevalence of and factors associated with prolonged length of stay in older hospitalized medical patients. Geriatrics and Gerontology International, 16(3), 314\u2013321.","journal-title":"Geriatrics and Gerontology International"},{"issue":"1","key":"10654_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12933-021-01408-1","volume":"20","author":"A Ceriello","year":"2021","unstructured":"Ceriello, A., Catrinoiu, D., Chandramouli, C., Cosentino, F., Dombrowsky, A. C., Itzhak, B., Lalic, N. M., Prattichizzo, F., Schnell, O., Seferovi\u0107, P. M., & Standl, E. (2021). Heart failure in type 2 diabetes: current perspectives on screening, diagnosis and management. Cardiovascular Diabetology, 20(1), 1\u201319.","journal-title":"Cardiovascular Diabetology"},{"issue":"1","key":"10654_CR9","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1159\/000521288","volume":"91","author":"ME Charlson","year":"2022","unstructured":"Charlson, M. E., Carrozzino, D., Guidi, J., & Patierno, C. (2022). Charlson comorbidity index: a critical review of clinimetric properties. Psychotherapy and Psychosomatics, 91(1), 8\u201335.","journal-title":"Psychotherapy and Psychosomatics"},{"issue":"5","key":"10654_CR10","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1016\/0021-9681(87)90171-8","volume":"40","author":"ME Charlson","year":"1987","unstructured":"Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases, 40(5), 373\u2013383.","journal-title":"Journal of Chronic Diseases"},{"key":"10654_CR11","doi-asserted-by":"crossref","unstructured":"Chen, K., Wallace, S.\u00a0K., & Nates, J.\u00a0L. (2019). Current trends in ICU beds, use, occupancy, and costs in the United States. In ICU Utilization (pp. 1\u20138). Springer, Cham.","DOI":"10.1007\/978-3-319-74698-2_5-2"},{"key":"10654_CR12","doi-asserted-by":"crossref","unstructured":"Chen, Q., Zhang, B., Yang, J., Mo, X., Zhang, L., Li, M., Chen, Z., Fang, J., Wang, F., Huang, W., & Zhang, S. (2021). Predicting intensive care unit length of stay after acute type a aortic dissection surgery using machine learning. Frontiers in Cardiovascular Medicine, 8, Article 675431.","DOI":"10.3389\/fcvm.2021.675431"},{"issue":"11","key":"10654_CR13","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1001\/jamacardio.2019.3593","volume":"4","author":"N Conrad","year":"2019","unstructured":"Conrad, N., Judge, A., Canoy, D., Tran, J., Pinho-Gomes, A.-C., Millett, E. R., Salimi-Khorshidi, G., Cleland, J. G., McMurray, J. J., & Rahimi, K. (2019). Temporal trends and patterns in mortality after incident heart failure: a longitudinal analysis of 86000 individuals. JAMA Cardiology, 4(11), 1102\u20131111.","journal-title":"JAMA Cardiology"},{"key":"10654_CR14","doi-asserted-by":"crossref","unstructured":"Del Castillo-Carnevali, H., Marschall, A., Fraile, C., Torres\u00a0Lopez, M., Goncalves\u00a0Sanchez, M., Gomez\u00a0Sanchez, M., Basabe\u00a0Velasco, M., Marti\u00a0Sanchez, D., Rueda\u00a0Linares, A., Coto\u00a0Morales, B., & Alvarez\u00a0Anton, S. (2021). Comorbidities vs age for the prediction of excess of length of in-hospital stay in patients undergoing new pacemaker implantation. European Heart Journal, 42(Supplement_1), ehab724\u20132817.","DOI":"10.1093\/eurheartj\/ehab724.2817"},{"key":"10654_CR15","doi-asserted-by":"crossref","unstructured":"Del Valle, E. P. G., Garc\u00eda, G. L., Santamar\u00eda, L. P., Zanin, M., Ruiz, E. M., & Rodr\u00edguez-Gonz\u00e1lez, A. (2019). Disease networks and their contribution to disease understanding: a review of their evolution, techniques and data sources. Journal of Biomedical Informatics, 94, Article 103206.","DOI":"10.1016\/j.jbi.2019.103206"},{"issue":"1","key":"10654_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12933-021-01268-9","volume":"20","author":"X Ding","year":"2021","unstructured":"Ding, X., Wang, X., Wu, J., Zhang, M., & Cui, M. (2021). Triglyceride-glucose index and the incidence of atherosclerotic cardiovascular diseases: a meta-analysis of cohort studies. Cardiovascular Diabetology, 20(1), 1\u201313.","journal-title":"Cardiovascular Diabetology"},{"issue":"7","key":"10654_CR17","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/0021-9681(70)90054-8","volume":"23","author":"AR Feinstein","year":"1970","unstructured":"Feinstein, A. R. (1970). The pre-therapeutic classification of co-morbidity in chronic disease. Journal of Chronic Diseases, 23(7), 455\u2013468.","journal-title":"Journal of Chronic Diseases"},{"issue":"1","key":"10654_CR18","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1124\/pharmrev.121.000348","volume":"75","author":"P Ferdinandy","year":"2023","unstructured":"Ferdinandy, P., Andreadou, I., Baxter, G. F., B\u00f8tker, H. E., Davidson, S. M., Dobrev, D., Gersh, B. J., Heusch, G., Lecour, S., Ruiz-Meana, M., & Schulz, R. (2023). Interaction of cardiovascular nonmodifiable risk factors, comorbidities and comedications with ischemia\/reperfusion injury and cardioprotection by pharmacological treatments and ischemic conditioning. Pharmacological Reviews, 75(1), 159\u2013216.","journal-title":"Pharmacological Reviews"},{"issue":"1","key":"10654_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13054-020-2730-0","volume":"24","author":"SM Fernando","year":"2020","unstructured":"Fernando, S. M., Mathew, R., Hibbert, B., Rochwerg, B., Munshi, L., Walkey, A. J., M\u00f8ller, M. H., Simard, T., Di Santo, P., Ramirez, F. D., & Kyeremanteng, K. (2020). New-onset atrial fibrillation and associated outcomes and resource use among critically ill adults\u2013a multicenter retrospective cohort study. Critical Care, 24(1), 1\u201310.","journal-title":"Critical Care"},{"issue":"7","key":"10654_CR20","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1016\/j.cjca.2021.02.003","volume":"37","author":"M-A Fleury","year":"2021","unstructured":"Fleury, M.-A., & Clavel, M.-A. (2021). Sex and race differences in the pathophysiology, diagnosis, treatment, and outcomes of valvular heart diseases. Canadian Journal of Cardiology, 37(7), 980\u2013991.","journal-title":"Canadian Journal of Cardiology"},{"key":"10654_CR21","doi-asserted-by":"crossref","unstructured":"Friel, K. M., McCauley, C., O\u2019Kane, M., McCann, M., Delaney, G., & Coates, V. (2022). Can clinical outcomes be improved, and inpatient length of stay reduced for adults with diabetes? a systematic review. Frontiers in Clinical Diabetes and Healthcare, 3, Article 883283.","DOI":"10.3389\/fcdhc.2022.883283"},{"key":"10654_CR22","doi-asserted-by":"crossref","unstructured":"Gale, S.\u00a0E., Mardis, A., Plazak, M.\u00a0E., Kukin, A., & Reed, B.\u00a0N. (2021). Management of noncardiovascular comorbidities in patients with heart failure with reduced ejection fraction. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, 41(6), 537\u2013545.","DOI":"10.1002\/phar.2528"},{"key":"10654_CR23","doi-asserted-by":"crossref","unstructured":"Garg, N.\u00a0K., Ray, S., & Mathur, A. (2021). Prediction of 30-day hospital readmission in high-risk atherosclerotic cardiovascular disease patients using machine learning methods on electronic health record data from medical information mart for intensive care-3 database. Circulation, 144(Suppl_1), A10932\u2013A10932.","DOI":"10.1161\/circ.144.suppl_1.10932"},{"issue":"1","key":"10654_CR24","doi-asserted-by":"publisher","first-page":"20969","DOI":"10.1038\/s41598-021-00345-z","volume":"11","author":"A Guo","year":"2021","unstructured":"Guo, A., Khan, Y. M., Langabeer, J. R., & Foraker, R. E. (2021). Discovering disease-disease associations using electronic health records in the guideline advantage (tga) dataset. Scientific Reports, 11(1), 20969.","journal-title":"Scientific Reports"},{"issue":"4","key":"10654_CR25","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1002\/bjs.11448","volume":"107","author":"M Haisley","year":"2020","unstructured":"Haisley, M., S\u00f8rensen, J. A., & Sollie, M. (2020). Postoperative pressure injuries in adults having surgery under general anaesthesia: systematic review of perioperative risk factors. British Journal of Surgery, 107(4), 338\u2013347.","journal-title":"British Journal of Surgery"},{"issue":"7","key":"10654_CR26","first-page":"2599","volume":"9","author":"K Hasegawa","year":"2021","unstructured":"Hasegawa, K., Craig, S. S., Teach, S. J., & Camargo, C. A., Jr. (2021). Management of asthma exacerbations in the emergency department. The Journal of Allergy and Clinical Immunology: in Practice, 9(7), 2599\u20132610.","journal-title":"The Journal of Allergy and Clinical Immunology: in Practice"},{"issue":"1","key":"10654_CR27","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1186\/s12933-022-01527-3","volume":"21","author":"AD Haue","year":"2022","unstructured":"Haue, A. D., Armenteros, J. J. A., Holm, P. C., Eriksson, R., Moseley, P. L., K\u00f8ber, L. V., Bundgaard, H., & Brunak, S. (2022). Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study. Cardiovascular Diabetology, 21(1), 87.","journal-title":"Cardiovascular Diabetology"},{"key":"10654_CR28","doi-asserted-by":"crossref","unstructured":"He, L., Madathil, S. C., Servis, G., & Khasawneh, M. T. (2021). Neural network-based multi-task learning for inpatient flow classification and length of stay prediction. Applied Soft Computing, 108, Article 107483.","DOI":"10.1016\/j.asoc.2021.107483"},{"issue":"17","key":"10654_CR29","doi-asserted-by":"publisher","first-page":"e263","DOI":"10.1016\/j.jacc.2021.12.012","volume":"79","author":"PA Heidenreich","year":"2022","unstructured":"Heidenreich, P. A., Bozkurt, B., Aguilar, D., Allen, L. A., Byun, J. J., Colvin, M. M., Deswal, A., Drazner, M. H., Dunlay, S. M., Evers, L. R., & Yancy, C. W. (2022). 2022 aha\/acc\/hfsa guideline for the management of heart failure. Journal of the American College of Cardiology, 79(17), e263\u2013e421.","journal-title":"Journal of the American College of Cardiology"},{"issue":"5","key":"10654_CR30","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1016\/j.ekir.2021.02.038","volume":"6","author":"I Hougen","year":"2021","unstructured":"Hougen, I., Leon, S. J., Whitlock, R., Rigatto, C., Komenda, P., Bohm, C., & Tangri, N. (2021). Hyperkalemia and its association with mortality, cardiovascular events, hospitalizations, and intensive care unit admissions in a population-based retrospective cohort. Kidney International Reports, 6(5), 1309\u20131316.","journal-title":"Kidney International Reports"},{"key":"10654_CR31","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1007\/s10796-018-9881-4","volume":"22","author":"CD Huang","year":"2020","unstructured":"Huang, C. D., Goo, J., Behara, R. S., & Agarwal, A. (2020). Clinical decision support system for managing copd-related readmission risk. Information Systems Frontiers, 22, 735\u2013747.","journal-title":"Information Systems Frontiers"},{"issue":"8","key":"10654_CR32","doi-asserted-by":"publisher","first-page":"1660","DOI":"10.1093\/jamia\/ocab051","volume":"28","author":"K Huang","year":"2021","unstructured":"Huang, K., Gray, T. F., Romero-Brufau, S., Tulsky, J. A., & Lindvall, C. (2021). Using nursing notes to improve clinical outcome prediction in intensive care patients: a retrospective cohort study. Journal of the American Medical Informatics Association, 28(8), 1660\u20131666.","journal-title":"Journal of the American Medical Informatics Association"},{"issue":"1","key":"10654_CR33","doi-asserted-by":"publisher","first-page":"15561","DOI":"10.1038\/s41598-017-15647-4","volume":"7","author":"E Jeong","year":"2017","unstructured":"Jeong, E., Ko, K., Oh, S., & Han, H. W. (2017). Network-based analysis of diagnosis progression patterns using claims data. Scientific Reports, 7(1), 15561.","journal-title":"Scientific Reports"},{"issue":"1","key":"10654_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2016.35","volume":"3","author":"AE Johnson","year":"2016","unstructured":"Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L.-W.H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Anthony Celi, L., & Mark, R. G. (2016). Mimic-iii, a freely accessible critical care database. Scientific Data, 3(1), 1\u20139.","journal-title":"Scientific Data"},{"issue":"1","key":"10654_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41746-021-00382-y","volume":"4","author":"IF J\u00f8rgensen","year":"2021","unstructured":"J\u00f8rgensen, I. F., & Brunak, S. (2021). Time-ordered comorbidity correlations identify patients at risk of mis- and overdiagnosis. NPJ Digital Medicine, 4(1), 1\u201310.","journal-title":"NPJ Digital Medicine"},{"issue":"9","key":"10654_CR36","doi-asserted-by":"publisher","first-page":"11481","DOI":"10.1007\/s12652-022-03717-z","volume":"14","author":"F Kadri","year":"2023","unstructured":"Kadri, F., Dairi, A., Harrou, F., & Sun, Y. (2023). Towards accurate prediction of patient length of stay at emergency department: a gan-driven deep learning framework. Journal of Ambient Intelligence and Humanized Computing, 14(9), 11481\u201311495.","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"issue":"4","key":"10654_CR37","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1080\/07421222.2021.1990618","volume":"38","author":"P Kalgotra","year":"2021","unstructured":"Kalgotra, P., & Sharda, R. (2021). When will i get out of the hospital? modeling length of stay using comorbidity networks. Journal of Management Information Systems, 38(4), 1150\u20131184.","journal-title":"Journal of Management Information Systems"},{"key":"10654_CR38","doi-asserted-by":"crossref","unstructured":"Kalgotra, P., Sharda, R., & Luse, A. (2020). Which similarity measure to use in network analysis: impact of sample size on phi correlation coefficient and ochiai index. International Journal of Information Management, 55, Article 102229.","DOI":"10.1016\/j.ijinfomgt.2020.102229"},{"issue":"21","key":"10654_CR39","doi-asserted-by":"publisher","first-page":"2638","DOI":"10.1016\/j.jacc.2021.04.003","volume":"77","author":"S Kenchaiah","year":"2021","unstructured":"Kenchaiah, S., Ding, J., Carr, J. J., Allison, M. A., Budoff, M. J., Tracy, R. P., Burke, G. L., McClelland, R. L., Arai, A. E., & Bluemke, D. A. (2021). Pericardial fat and the risk of heart failure. Journal of The American College of Cardiology, 77(21), 2638\u20132652.","journal-title":"Journal of The American College of Cardiology"},{"issue":"13","key":"10654_CR40","doi-asserted-by":"publisher","first-page":"3220","DOI":"10.1111\/bph.15747","volume":"179","author":"U Kintscher","year":"2022","unstructured":"Kintscher, U., Bakris, G. L., & Kolkhof, P. (2022). Novel non-steroidal mineralocorticoid receptor antagonists in cardiorenal disease. British Journal of Pharmacology, 179(13), 3220\u20133234.","journal-title":"British Journal of Pharmacology"},{"issue":"3","key":"10654_CR41","doi-asserted-by":"publisher","first-page":"880","DOI":"10.1016\/j.jtcvs.2020.01.101","volume":"162","author":"D Lau","year":"2021","unstructured":"Lau, D., Pannu, N., James, M. T., Hemmelgarn, B. R., Kieser, T. M., Meyer, S. R., & Klarenbach, S. (2021). Costs and consequences of acute kidney injury after cardiac surgery: A cohort study. The Journal of Thoracic and Cardiovascular Surgery, 162(3), 880\u2013887.","journal-title":"The Journal of Thoracic and Cardiovascular Surgery"},{"issue":"12","key":"10654_CR42","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1016\/j.ijmedinf.2014.08.006","volume":"83","author":"J Lee","year":"2014","unstructured":"Lee, J., Han, H., Ock, M., Lee, S.-I., Lee, S., & Jo, M.-W. (2014). Impact of a clinical decision support system for high-alert medications on the prevention of prescription errors. International Journal of Medical Informatics, 83(12), 929\u2013940.","journal-title":"International Journal of Medical Informatics"},{"key":"10654_CR43","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1016\/j.jcrc.2019.09.016","volume":"57","author":"DL Lemkin","year":"2020","unstructured":"Lemkin, D. L., Stryckman, B., Klein, J. E., Custer, J. W., Bame, W., Maranda, L., Wood, K. E., Paulson, C., & Dezman, Z. D. (2020). Integrating a safety smart list into the electronic health record decreases intensive care unit length of stay and cost. Journal of Critical Care, 57, 246\u2013252.","journal-title":"Journal of Critical Care"},{"issue":"1","key":"10654_CR44","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.bbe.2022.12.008","volume":"43","author":"Y Liang","year":"2023","unstructured":"Liang, Y., & Guo, C. (2023). Heart failure disease prediction and stratification with temporal electronic health records data using patient representation. Biocybernetics and Biomedical Engineering, 43(1), 124\u2013141.","journal-title":"Biocybernetics and Biomedical Engineering"},{"issue":"1","key":"10654_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12933-021-01422-3","volume":"20","author":"V Lind","year":"2021","unstructured":"Lind, V., Hammar, N., Lundman, P., Friberg, L., Talb\u00e4ck, M., Walldius, G., & Norhammar, A. (2021). Impaired fasting glucose: A risk factor for atrial fibrillation and heart failure. Cardiovascular Diabetology, 20(1), 1\u20139.","journal-title":"Cardiovascular Diabetology"},{"key":"10654_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113583","volume":"148","author":"Y Lu","year":"2021","unstructured":"Lu, Y., Chen, S., Miao, Z., Delen, D., & Gin, A. (2021). Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression. Decision Support Systems, 148, Article 113583.","journal-title":"Decision Support Systems"},{"issue":"1","key":"10654_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12967-022-03340-8","volume":"20","author":"C Luo","year":"2022","unstructured":"Luo, C., Zhu, Y., Zhu, Z., Li, R., Chen, G., & Wang, Z. (2022). A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure. Journal of Translational Medicine, 20(1), 1\u20139.","journal-title":"Journal of Translational Medicine"},{"issue":"5","key":"10654_CR48","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.1097\/JU.0000000000001561","volume":"205","author":"A Lusty","year":"2021","unstructured":"Lusty, A., Siemens, D. R., Tohidi, M., Whitehead, M., Tranmer, J., & Nickel, J. C. (2021). Cardiac failure associated with medical therapy of benign prostatic hyperplasia: A population based study. The Journal of Urology, 205(5), 1430\u20131435.","journal-title":"The Journal of Urology"},{"issue":"1","key":"10654_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1097\/CCM.0000000000005269","volume":"50","author":"SK McGowan","year":"2022","unstructured":"McGowan, S. K., Sarigiannis, K. A., Fox, S. C., Gottlieb, M. A., & Chen, E. (2022). Racial disparities in ICU outcomes: A systematic review. Critical Care Medicine, 50(1), 1\u201320.","journal-title":"Critical Care Medicine"},{"issue":"12","key":"10654_CR50","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1007\/s00134-021-06544-6","volume":"47","author":"V Metaxa","year":"2021","unstructured":"Metaxa, V., Anagnostou, D., Vlachos, S., Arulkumaran, N., Besemmane, S., van Dusseldorp, I., Aslakson, R. A., Davidson, J. E., Gerritsen, R. T., Hartog, C., & Curtis, J. R. (2021). Palliative care interventions in intensive care unit patients. Intensive Care Medicine, 47(12), 1415\u20131425.","journal-title":"Intensive Care Medicine"},{"issue":"5","key":"10654_CR51","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.cardfail.2021.01.018","volume":"27","author":"PE Miller","year":"2021","unstructured":"Miller, P. E., Van Diepen, S., Metkus, T. S., Alviar, C. L., Rayner-Hartley, E., Rathwell, S., Katz, J. N., Ezekowitz, J., Desai, N. R., & Ahmad, T. (2021). Association between respiratory failure and clinical outcomes in patients with acute heart failure: Analysis of 5 pooled clinical trials. Journal of Cardiac Failure, 27(5), 602\u2013606.","journal-title":"Journal of Cardiac Failure"},{"key":"10654_CR52","doi-asserted-by":"crossref","unstructured":"Moja, L., Polo Friz, H., Capobussi, M., Kwag, K., Banzi, R., Ruggiero, F., Gonz\u00e1lez-Lorenzo, M., Liberati, E. G., Mangia, M., Nyberg, P., et\u00a0al. (2019). Effectiveness of a hospital-based computerized decision support system on clinician recommendations and patient outcomes: a randomized clinical trial. JAMA network open, 2(12), Article e1917094.","DOI":"10.1001\/jamanetworkopen.2019.17094"},{"issue":"3","key":"10654_CR53","doi-asserted-by":"publisher","first-page":"e1179","DOI":"10.1210\/clinem\/dgaa927","volume":"106","author":"F Moratalla-Navarro","year":"2021","unstructured":"Moratalla-Navarro, F., Moreno, V., L\u00f3pez-Simarro, F., & Aguado, A. (2021). Morbinet study: Hypothyroidism comorbidity networks in the adult general population. The Journal of Clinical Endocrinology and Metabolism, 106(3), e1179\u2013e1190.","journal-title":"The Journal of Clinical Endocrinology and Metabolism"},{"key":"10654_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119864","volume":"223","author":"J Moya-Carvajal","year":"2023","unstructured":"Moya-Carvajal, J., P\u00e9rez-Galarce, F., Taramasco, C., Astudillo, C. A., & Candia-V\u00e9jar, A. (2023). Ml models for severity classification and length-of-stay forecasting in emergency units. Expert Systems With Applications, 223, Article 119864.","journal-title":"Expert Systems With Applications"},{"issue":"2","key":"10654_CR55","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/s10796-024-10513-x","volume":"27","author":"S Niu","year":"2025","unstructured":"Niu, S., Ma, J., Yin, Q., Wang, Z., Bai, L., & Yang, X. (2025). Modelling patient longitudinal data for clinical decision support: A case study on emerging AI healthcare technologies. Information Systems Frontiers, 27(2), 409\u2013427.","journal-title":"Information Systems Frontiers"},{"key":"10654_CR56","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2024.114228","volume":"181","author":"S Niu","year":"2024","unstructured":"Niu, S., Yin, Q., Ma, J., Song, Y., Xu, Y., Bai, L., Pan, W., & Yang, X. (2024). Enhancing healthcare decision support through explainable AI models for risk prediction. Decision Support Systems, 181, Article 114228.","journal-title":"Decision Support Systems"},{"key":"10654_CR57","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.ajem.2021.03.083","volume":"48","author":"SM Oh","year":"2021","unstructured":"Oh, S. M., Skendelas, J. P., Macdonald, E., Bergamini, M., Goel, S., Choi, J., Segal, K. R., Vivek, K., Nair, S., & Leff, J. (2021). On-admission anemia predicts mortality in COVID-19 patients: A single center, retrospective cohort study. The American Journal of Emergency Medicine, 48, 140\u2013147.","journal-title":"The American Journal of Emergency Medicine"},{"issue":"3","key":"10654_CR58","doi-asserted-by":"publisher","first-page":"387","DOI":"10.5056\/jnm19037","volume":"25","author":"H-M Park","year":"2019","unstructured":"Park, H.-M., Park, S.-Y., Chung, J. O., Cho, D. H., Park, C.-H., Kim, H.-S., Chung, D. J., Choi, S.-K., Rew, J.-S., & Chung, M. Y. (2019). Association between gastric emptying time and incidence of cardiovascular diseases in subjects with diabetes. Journal of Neurogastroenterology and Motility, 25(3), 387.","journal-title":"Journal of Neurogastroenterology and Motility"},{"key":"10654_CR59","doi-asserted-by":"crossref","unstructured":"Peixoto, S. G., Wolf, J. M., Glaeser, A. B., Maccari, J. G., & Nasi, L. A. (2022). Longer length of stay, days between discharge\/first readmission, and pulmonary involvement\u00a0\u2265\u00a050% increase prevalence of admissions in icu in unplanned readmissions after covid-19 hospitalizations. Journal of Medical Virology, 94(8), 3750\u20133756.","DOI":"10.1002\/jmv.27792"},{"issue":"6","key":"10654_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.accpm.2022.101142","volume":"41","author":"IT Peres","year":"2022","unstructured":"Peres, I. T., Hamacher, S., Oliveira, F. L. C., Bozza, F. A., & Salluh, J. I. F. (2022). Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units. Anaesthesia, Critical Care & Pain Medicine, 41(6), Article 101142.","journal-title":"Anaesthesia, Critical Care & Pain Medicine"},{"key":"10654_CR61","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.jcrc.2020.08.003","volume":"60","author":"IT Peres","year":"2020","unstructured":"Peres, I. T., Hamacher, S., Oliveira, F. L. C., Thom\u00e9, A. M. T., & Bozza, F. A. (2020). What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis. Journal of Critical Care, 60, 183\u2013194.","journal-title":"Journal of Critical Care"},{"issue":"1","key":"10654_CR62","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2018.178","volume":"5","author":"TJ Pollard","year":"2018","unstructured":"Pollard, T. J., Johnson, A. E., Raffa, J. D., Celi, L. A., Mark, R. G., & Badawi, O. (2018). The eicu collaborative research database, a freely available multi-center database for critical care research. Scientific Data, 5(1), 1\u201313.","journal-title":"Scientific Data"},{"key":"10654_CR63","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.jad.2021.09.100","volume":"296","author":"H Qiu","year":"2022","unstructured":"Qiu, H., Wang, L., Zeng, X., & Pan, J. (2022). Comorbidity patterns in depression: A disease network analysis using regional hospital discharge records. Journal of Affective Disorders, 296, 418\u2013427.","journal-title":"Journal of Affective Disorders"},{"issue":"10","key":"10654_CR64","doi-asserted-by":"publisher","first-page":"7874","DOI":"10.1016\/j.jksuci.2022.07.006","volume":"34","author":"MM Rahman","year":"2022","unstructured":"Rahman, M. M., Kundu, D., Suha, S. A., Siddiqi, U. R., & Dey, S. K. (2022). Hospital patients\u2019 length of stay prediction: A federated learning approach. Journal of King Saud University - Computer and Information Sciences, 34(10), 7874\u20137884.","journal-title":"Journal of King Saud University - Computer and Information Sciences"},{"issue":"7","key":"10654_CR65","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1002\/ajh.24389","volume":"91","author":"R R\u00edos-Tamayo","year":"2016","unstructured":"R\u00edos-Tamayo, R., S\u00e1inz, J., Mart\u00ednez-L\u00f3pez, J., Puerta, J. M., Chang, D.-Y.-L., Rodr\u00edguez, T., Garrido, P., de Veas, J. L. G., Romero, A., Moratalla, L., & Lahuerta, J. J. (2016). Early mortality in multiple myeloma: The time-dependent impact of comorbidity: A population-based study in 621 real-life patients. American Journal of Hematology, 91(7), 700\u2013704.","journal-title":"American Journal of Hematology"},{"issue":"1","key":"10654_CR66","first-page":"13","volume":"28","author":"M Singer","year":"2000","unstructured":"Singer, M. (2000). A dose of drugs, a touch of violence, a case of aids: Conceptualizing the sava syndemic. Free Inquiry in Creative Sociology, 28(1), 13\u201324.","journal-title":"Free Inquiry in Creative Sociology"},{"key":"10654_CR67","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111160","volume":"283","author":"M Sun","year":"2024","unstructured":"Sun, M., Yang, X., Niu, J., Gu, Y., Wang, C., & Zhang, W. (2024). A cross-modal clinical prediction system for intensive care unit patient outcome. Knowledge-Based Systems, 283, Article 111160.","journal-title":"Knowledge-Based Systems"},{"issue":"7","key":"10654_CR68","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0270809","volume":"17","author":"MT Tekle","year":"2022","unstructured":"Tekle, M. T., Bekalu, A. F., & Tefera, Y. G. (2022). Length of hospital stay and associated factors among heart failure patients admitted to the university hospital in northwest Ethiopia. PLoS One, 17(7), Article e0270809.","journal-title":"PLoS One"},{"key":"10654_CR69","doi-asserted-by":"crossref","unstructured":"Tlili, N.\u00a0E., Robert, L., Gerard, E., Lemaitre, M., Vambergue, A., Beuscart, J.-B., & Quindroit, P. (2024). A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs. International Journal of Medical Informatics, 105581.","DOI":"10.1016\/j.ijmedinf.2024.105581"},{"issue":"15","key":"10654_CR70","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12155090","volume":"12","author":"F Triposkiadis","year":"2023","unstructured":"Triposkiadis, F., Sarafidis, P., Briasoulis, A., Magouliotis, D. E., Athanasiou, T., Skoularigis, J., & Xanthopoulos, A. (2023). Hypertensive heart failure. Journal of Clinical Medicine, 12(15), Article 5090.","journal-title":"Journal of Clinical Medicine"},{"issue":"8","key":"10654_CR71","doi-asserted-by":"publisher","first-page":"E93","DOI":"10.1161\/CIR.0000000000001123","volume":"147","author":"CW Tsao","year":"2023","unstructured":"Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., & Buxton, A. E. (2023). Heart disease and stroke statistics-2023 update: A report from the american heart association. Circulation, 147(8), E93\u2013E621.","journal-title":"Circulation"},{"issue":"3","key":"10654_CR72","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1007\/s10796-022-10282-5","volume":"25","author":"S Tutun","year":"2023","unstructured":"Tutun, S., Johnson, M. E., Ahmed, A., Albizri, A., Irgil, S., Yesilkaya, I., Ucar, E. N., Sengun, T., & Harfouche, A. (2023). An AI-based decision support system for predicting mental health disorders. Information Systems Frontiers, 25(3), 1261\u20131276.","journal-title":"Information Systems Frontiers"},{"issue":"1","key":"10654_CR73","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13613-019-0571-2","volume":"9","author":"S Vallabhajosyula","year":"2019","unstructured":"Vallabhajosyula, S., Kashani, K., Dunlay, S. M., Vallabhajosyula, S., Vallabhajosyula, S., Sundaragiri, P. R., Gersh, B. J., Jaffe, A. S., & Barsness, G. W. (2019). Acute respiratory failure and mechanical ventilation in cardiogenic shock complicating acute myocardial infarction in the usa, 2000\u20132014. Annals of Intensive Care, 9(1), 1\u201310.","journal-title":"Annals of Intensive Care"},{"issue":"4","key":"10654_CR74","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1111\/joim.13371","volume":"291","author":"J-L Vincent","year":"2022","unstructured":"Vincent, J.-L., & Creteur, J. (2022). Appropriate care for the elderly in the ICU. Journal of Internal Medicine, 291(4), 458\u2013468.","journal-title":"Journal of Internal Medicine"},{"key":"10654_CR75","doi-asserted-by":"publisher","DOI":"10.2147\/IJNRD.S167477","author":"M Vives","year":"2019","unstructured":"Vives, M., Hernandez, A., Parramon, F., Estanyol, N., Pardina, B., Mu\u00f1oz, A., Alvarez, P., & Hernandez, C. (2019). Acute kidney injury after cardiac surgery: Prevalence, impact and management challenges. International Journal of Nephrology and Renovascular Disease. https:\/\/doi.org\/10.2147\/IJNRD.S167477","journal-title":"International Journal of Nephrology and Renovascular Disease"},{"issue":"3","key":"10654_CR76","doi-asserted-by":"publisher","first-page":"213","DOI":"10.7326\/M18-1425","volume":"170","author":"GE Weissman","year":"2019","unstructured":"Weissman, G. E., Kerlin, M. P., Yuan, Y., Gabler, N. B., Groeneveld, P. W., Werner, R. M., & Halpern, S. D. (2019). Population trends in intensive care unit admissions in the United States among Medicare beneficiaries, 2006\u20132015. Annals of Internal Medicine, 170(3), 213\u2013215.","journal-title":"Annals of Internal Medicine"},{"issue":"1","key":"10654_CR77","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1513\/AnnalsATS.201905-366OC","volume":"17","author":"GE Weissman","year":"2020","unstructured":"Weissman, G. E., Kerlin, M. P., Yuan, Y., Kohn, R., Anesi, G. L., Groeneveld, P. W., Werner, R. M., & Halpern, S. D. (2020). Potentially preventable intensive care unit admissions in the United States, 2006\u20132015. Annals Of The American Thoracic Society, 17(1), 81\u201388.","journal-title":"Annals Of The American Thoracic Society"},{"issue":"8","key":"10654_CR78","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.121.024409","volume":"11","author":"BA Williams","year":"2022","unstructured":"Williams, B. A., Voyce, S., Sidney, S., Roger, V. L., Plante, T. B., Larson, S., LaMonte, M. J., Labarthe, D. R., DeBarmore, B. M., Chang, A. R., & Benziger, C. P. (2022). Establishing a national cardiovascular disease surveillance system in the United States using electronic health record data: Key strengths and limitations. Journal of the American Heart Association, 11(8), Article e024409.","journal-title":"Journal of the American Heart Association"},{"key":"10654_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103980","volume":"126","author":"F Xie","year":"2022","unstructured":"Xie, F., Yuan, H., Ning, Y., Ong, M. E. H., Feng, M., Hsu, W., Chakraborty, B., & Liu, N. (2022). Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. Journal of Biomedical Informatics, 126, Article 103980.","journal-title":"Journal of Biomedical Informatics"},{"key":"10654_CR80","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118541","volume":"210","author":"P Yang","year":"2022","unstructured":"Yang, P., Qiu, H., Wang, L., & Zhou, L. (2022). Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning. Expert Systems With Applications, 210, Article 118541.","journal-title":"Expert Systems With Applications"},{"issue":"33","key":"10654_CR81","doi-asserted-by":"publisher","first-page":"3175","DOI":"10.1093\/eurheartj\/ehab418","volume":"42","author":"Q Yang","year":"2021","unstructured":"Yang, Q., Sun, D., Pei, C., Zeng, Y., Wang, Z., Li, Z., Hao, Y., Song, X., Li, Y., Liu, G., & Zhou, X. (2021). Ldl cholesterol levels and in-hospital bleeding in patients on high-intensity antithrombotic therapy: Findings from the ccc-acs project. European Heart Journal, 42(33), 3175\u20133186.","journal-title":"European Heart Journal"},{"issue":"5","key":"10654_CR82","doi-asserted-by":"publisher","first-page":"325","DOI":"10.7326\/M20-0432","volume":"173","author":"T-C Yao","year":"2020","unstructured":"Yao, T.-C., Huang, Y.-W., Chang, S.-M., Tsai, S.-Y., Wu, A. C., & Tsai, H.-J. (2020). Association between oral corticosteroid bursts and severe adverse events: A nationwide population-based cohort study. Annals of Internal Medicine, 173(5), 325\u2013330.","journal-title":"Annals of Internal Medicine"},{"issue":"1","key":"10654_CR83","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1053\/j.gastro.2021.09.064","volume":"162","author":"Y Ye","year":"2022","unstructured":"Ye, Y., Yin, Y., Huh, S. Y., Almansa, C., Bennett, D., & Camilleri, M. (2022). Epidemiology, etiology, and treatment of gastroparesis: Real-world evidence from a large US national claims database. Gastroenterology, 162(1), 109\u2013121.","journal-title":"Gastroenterology"},{"issue":"9","key":"10654_CR84","doi-asserted-by":"publisher","first-page":"4714","DOI":"10.1109\/JBHI.2022.3182368","volume":"26","author":"Z Yong","year":"2022","unstructured":"Yong, Z., Luo, L., Gu, Y., & Li, C. (2022). Bayesian comorbidity network and cost analysis for asthma. IEEE Journal of Biomedical and Health Informatics, 26(9), 4714\u20134724.","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"12","key":"10654_CR85","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2018-028638","volume":"9","author":"M Yousufuddin","year":"2019","unstructured":"Yousufuddin, M., Takahashi, P. Y., Major, B., Ahmmad, E., Al-Zubi, H., Peters, J., Doyle, T., Jensen, K., Al Ward, R. Y., Sharma, U., & Murad, M. H. (2019). Association between hyperlipidemia and mortality after incident acute myocardial infarction or acute decompensated heart failure: A propensity score matched cohort study and a meta-analysis. BMJ Open, 9(12), Article e028638.","journal-title":"BMJ Open"},{"key":"10654_CR86","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107052","volume":"223","author":"K Yu","year":"2021","unstructured":"Yu, K., Yang, Z., Wu, C., Huang, Y., & Xie, X. (2021). In-hospital resource utilization prediction from electronic medical records with deep learning. Knowledge-Based Systems, 223, Article 107052.","journal-title":"Knowledge-Based Systems"},{"key":"10654_CR87","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2022.861798","volume":"9","author":"B Zhang","year":"2022","unstructured":"Zhang, B., Li, Z.-F., An, Z.-Y., Zhang, L., Wang, J.-Y., Hao, M.-D., Jin, Y.-J., Li, D., Song, A.-J., Ren, Q., & Chen, W.-B. (2022). Association between asthma and all-cause mortality and cardiovascular disease morbidity and mortality: A meta-analysis of cohort studies. Frontiers in Cardiovascular Medicine, 9, Article 861798.","journal-title":"Frontiers in Cardiovascular Medicine"},{"issue":"9","key":"10654_CR88","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.jacc.2021.11.061","volume":"79","author":"J Zheng","year":"2022","unstructured":"Zheng, J., Heidenreich, P. A., Kohsaka, S., Fearon, W. F., & Sandhu, A. T. (2022). Variability in coronary artery disease testing for patients with new-onset heart failure. Journal of the American College of Cardiology, 79(9), 849\u2013860.","journal-title":"Journal of the American College of Cardiology"},{"issue":"5","key":"10654_CR89","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2020.103282","volume":"59","author":"HM Zolbanin","year":"2022","unstructured":"Zolbanin, H. M., Davazdahemami, B., Delen, D., & Zadeh, A. H. (2022). Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases. Information and Management, 59(5), Article 103282.","journal-title":"Information and Management"},{"issue":"6","key":"10654_CR90","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1007\/s10796-019-09934-w","volume":"22","author":"HM Zolbanin","year":"2020","unstructured":"Zolbanin, H. M., Delen, D., Crosby, D., & Wright, D. (2020). A predictive analytics-based decision support system for drug courts. Information Systems Frontiers, 22(6), 1323\u20131342.","journal-title":"Information Systems Frontiers"}],"container-title":["Information Systems Frontiers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-025-10654-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10796-025-10654-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-025-10654-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:03:06Z","timestamp":1769853786000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10796-025-10654-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,29]]},"references-count":90,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["10654"],"URL":"https:\/\/doi.org\/10.1007\/s10796-025-10654-7","relation":{},"ISSN":["1387-3326","1572-9419"],"issn-type":[{"value":"1387-3326","type":"print"},{"value":"1572-9419","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,29]]},"assertion":[{"value":"22 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors declare no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}