{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T15:40:31Z","timestamp":1743003631273,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031417733"},{"type":"electronic","value":"9783031417740"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-41774-0_53","type":"book-chapter","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T03:25:20Z","timestamp":1695266720000},"page":"675-688","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Analysis of\u00a0Patient Length of\u00a0Stay in\u00a0Hospitals Using Classification and\u00a0Clustering Approaches"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9858-1437","authenticated-orcid":false,"given":"Sheikh Sharfuddin","family":"Mim","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1678-3527","authenticated-orcid":false,"given":"Doina","family":"Logofatu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1370-9145","authenticated-orcid":false,"given":"Florin","family":"Leon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,22]]},"reference":[{"key":"53_CR1","unstructured":"World Health Organization (WHO): Integrated chronic disease prevention and control (2020)"},{"issue":"3","key":"53_CR2","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1177\/1077558706287042","volume":"63","author":"B Friedman","year":"2006","unstructured":"Friedman, B., Jiang, H.J., Elixhauser, A., Segal, A.: Hospital inpatient costs for adults with multiple chronic conditions. Med. Care Res. Rev. 63(3), 327\u2013346 (2006)","journal-title":"Med. Care Res. Rev."},{"key":"53_CR3","unstructured":"Health Catalyst: Patient-centered LOS reduction initiative improves outcomes, saves costs (2016)"},{"issue":"4","key":"53_CR4","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1108\/17506121011095182","volume":"4","author":"M Hassan","year":"2010","unstructured":"Hassan, M., David, K.: Hospital length of stay and probability of acquiring infection. Int. J. Pharm. Healthc. Mark. 4(4), 324\u2013338 (2010)","journal-title":"Int. J. Pharm. Healthc. Mark."},{"issue":"2","key":"53_CR5","doi-asserted-by":"publisher","first-page":"020303","DOI":"10.7189\/jogh.08.020303","volume":"8","author":"T Panch","year":"2018","unstructured":"Panch, T., Szolovits, P., Atun, R.: Artificial intelligence, machine learning and health systems. J. Glob. Health 8(2), 020303 (2018)","journal-title":"J. Glob. Health"},{"key":"53_CR6","first-page":"1","volume":"3","author":"EW Alistair","year":"2016","unstructured":"Alistair, E.W., et al.: MIMIC III, a freely accessible critical care database. Sci. Data 3, 1\u20139 (2016)","journal-title":"Sci. Data"},{"key":"53_CR7","unstructured":"Courtemanche-Martel, S., Wang, D.: A classification and clustering analysis of patient hospital stays. Final Project Report, Master of Management in Analytics, Desautels Faculty of Management, McGill University (2020)"},{"issue":"9","key":"53_CR8","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1109\/JBHI.2020.2973285","volume":"24","author":"F Ma","year":"2020","unstructured":"Ma, F., Yu, L., Ye, L., Yao, D.D., Zhuang, W.: Length-of-stay prediction for pediatric patients with respiratory diseases using decision tree methods. IEEE J. Biomed. Health Inform. 24(9), 2651\u20132662 (2020)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"53_CR9","doi-asserted-by":"crossref","unstructured":"Williams Batista, R., Sanchez-Arias, R.: A methodology for estimating hospital intensive care unit length of stay using novel machine learning tools. In: 19th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 827\u2013832 (2020)","DOI":"10.1109\/ICMLA51294.2020.00135"},{"key":"53_CR10","doi-asserted-by":"crossref","unstructured":"Kabir, S., Farrokhvar, L.: Non-linear feature selection for prediction of hospital length of stay. In: 18th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 945\u2013950 (2019)","DOI":"10.1109\/ICMLA.2019.00162"},{"key":"53_CR11","unstructured":"Scarlat, A.: MIMIC-III Dataset - MIMIC3d aggregated data: ICU aggregated data as number of interactions between patient and hospital (2019)"},{"key":"53_CR12","unstructured":"Prajwal, C.N.: Confusion matrix in R\u2014A Complete Guide (2022). https:\/\/www.digitalocean.com\/community\/tutorials\/confusion-matrix-in-r"},{"key":"53_CR13","unstructured":"Wisdom, B.D.: Understanding the Confusion Matrix (II) (2019). https:\/\/dev.to\/overrideveloper\/understanding-the-confusion-matrix-264i"},{"key":"53_CR14","unstructured":"Shmueli, B.: Multi-class metrics made simple, Part I: precision and recall (2019). https:\/\/towardsdatascience.com\/multi-class-metrics-made-simple-part-i-precision-and-recall-9250280bddc2"},{"key":"53_CR15","unstructured":"Centers for Disease Control and Prevention (CDC): What is sepsis? (2022)"},{"key":"53_CR16","unstructured":"Shmerling, R.H.: Where people die (2018)"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-41774-0_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T06:36:09Z","timestamp":1695278169000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-41774-0_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031417733","9783031417740"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-41774-0_53","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Budapest","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hungary","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"218","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.01","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.86","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}