{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:23:21Z","timestamp":1743121401662,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031665370"},{"type":"electronic","value":"9783031665387"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-66538-7_4","type":"book-chapter","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:02:07Z","timestamp":1721926927000},"page":"36-45","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3588-5238","authenticated-orcid":false,"given":"Brian W.","family":"Locke","sequence":"first","affiliation":[]},{"given":"W. Wayne","family":"Richards","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8407-4034","authenticated-orcid":false,"given":"Jeanette P.","family":"Brown","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7341-363X","authenticated-orcid":false,"given":"Wanting","family":"Cui","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8084-7441","authenticated-orcid":false,"given":"Joseph","family":"Finkelstein","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7220-5767","authenticated-orcid":false,"given":"Krishna M.","family":"Sundar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4345-9669","authenticated-orcid":false,"given":"Ramkiran","family":"Gouripeddi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,25]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.202108-1912le","author":"Y Chung","year":"2022","unstructured":"Chung, Y., Garden, F.L., Marks, G.B., Vedam, H.: Population prevalence of hypercapnic respiratory failure from any cause. Am. J. Respir. Crit. Care Med. (2022). https:\/\/doi.org\/10.1164\/rccm.202108-1912le","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"4_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00408-019-00300-w","author":"AJ Meservey","year":"2020","unstructured":"Meservey, A.J., Burton, M.C., Priest, J.S., Teneback, C.C., Dixon, A.E.: Risk of readmission and mortality following hospitalization with hypercapnic respiratory failure. Lung (2020). https:\/\/doi.org\/10.1007\/s00408-019-00300-w","journal-title":"Lung"},{"key":"4_CR3","doi-asserted-by":"publisher","DOI":"10.1513\/annalsats.202009-1197oc","author":"MW Wilson","year":"2021","unstructured":"Wilson, M.W., Labaki, W.W., Choi, P.J.: Mortality and healthcare utilization of patients with compensated hypercapnia. Ann. Am. Thorac. Soc. (2021). https:\/\/doi.org\/10.1513\/annalsats.202009-1197oc","journal-title":"Ann. Am. Thorac. Soc."},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"173","DOI":"10.2147\/OAEM.S242075","volume":"12","author":"S Vonderbank","year":"2020","unstructured":"Vonderbank, S., et al.: Hypercapnia at hospital admission as a predictor of mortality. Open Access Emerg. Med. OAEM 12, 173\u2013180 (2020). https:\/\/doi.org\/10.2147\/OAEM.S242075","journal-title":"Open Access Emerg. Med. OAEM"},{"key":"4_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2003.08.022","author":"S Nowbar","year":"2004","unstructured":"Nowbar, S., et al.: Obesity-associated hypoventilation in hospitalized patients: prevalence, effects, and outcome. Am. J. Med. (2004). https:\/\/doi.org\/10.1016\/j.amjmed.2003.08.022","journal-title":"Am. J. Med."},{"key":"4_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijnurstu.2021.104131","author":"S Gonella","year":"2021","unstructured":"Gonella, S., et al.: Interventions to reduce arterial puncture-related pain: a systematic review and meta-analysis. Int. J. Nurs. Stud. (2021). https:\/\/doi.org\/10.1016\/j.ijnurstu.2021.104131","journal-title":"Int. J. Nurs. Stud."},{"key":"4_CR7","doi-asserted-by":"publisher","unstructured":"Rowling, S.C., Fl\u00f8jstrup, M., Henriksen, D.P., et al.: Arterial blood gas analysis: as safe as we think? A multicentre historical cohort study. ERJ Open Res. (2022). https:\/\/doi.org\/10.1183\/23120541.00535-2021","DOI":"10.1183\/23120541.00535-2021"},{"key":"4_CR8","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1016\/j.chest.2021.05.074","volume":"160","author":"PC Gay","year":"2021","unstructured":"Gay, P.C., Owens, R.L.: Executive summary: optimal NIV medicare access promotion: a technical expert panel report from the american college of chest physicians, the american association for respiratory care, the american academy of sleep medicine, and the American thoracic society. Chest 160, 1808\u20131821 (2021). https:\/\/doi.org\/10.1016\/j.chest.2021.05.074","journal-title":"Chest"},{"key":"4_CR9","doi-asserted-by":"publisher","unstructured":"Mokhlesi, B., et al.: Evaluation and management of obesity hypoventilation syndrome. An official American thoracic society clinical practice guideline. Am. J. Respir. Crit. Care Med. (2019). https:\/\/doi.org\/10.1164\/rccm.201905-1071st","DOI":"10.1164\/rccm.201905-1071st"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Locke, B., Gouripeddi, R., Richards, W., Brown, J., Sundar, K.: Test performance of serum bicarbonate in identifying hypercapnia across settings and diseases. In: D30. Integrating OSA and Comorbidities for Effective Therapies, pp. A6495\u2013A6495. American Thoracic Society (2023)","DOI":"10.1164\/ajrccm-conference.2023.207.1_MeetingAbstracts.A6495"},{"key":"4_CR11","doi-asserted-by":"publisher","unstructured":"Pepe, M.S.: The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press (2003). https:\/\/doi.org\/10.1198\/tech.2005.s278","DOI":"10.1198\/tech.2005.s278"},{"key":"4_CR12","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooad035","author":"M Palchuk","year":"2023","unstructured":"Palchuk, M., et al.: A global federated real-world data and analytics platform for research. JAMIA Open (2023). https:\/\/doi.org\/10.1093\/jamiaopen\/ooad035","journal-title":"JAMIA Open"},{"key":"4_CR13","doi-asserted-by":"publisher","unstructured":"Usher-Smith, J.A., Sharp, S.J., Griffin, S.J.: The spectrum effect in tests for risk prediction, screening, and diagnosis. BMJ 353 (2016). https:\/\/doi.org\/10.1136\/bmj.i3139","DOI":"10.1136\/bmj.i3139"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1503\/cmaj.110977","volume":"184","author":"RH Groenwold","year":"2012","unstructured":"Groenwold, R.H., White, I.R., Donders, A.R.T., Carpenter, J.R., Altman, D.G., Moons, K.G.: Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis. CMAJ 184, 1265\u20131269 (2012). https:\/\/doi.org\/10.1503\/cmaj.110977","journal-title":"CMAJ"},{"key":"4_CR15","unstructured":"Ensor, J., Snell, K.IE., Martin, E.C.: PMCALPLOT: stata module to produce calibration plot of prediction model performance (2018). https:\/\/ideas.repec.org\/c\/boc\/bocode\/s458486.html"},{"key":"4_CR16","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR17","doi-asserted-by":"publisher","unstructured":"Cerulli, G.: Machine learning using Stata\/Python. Stata J. 22, 772\u2013810 (2022). https:\/\/doi.org\/10.1177\/1536867X221140944","DOI":"10.1177\/1536867X221140944"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-66538-7_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:02:50Z","timestamp":1721926970000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-66538-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031665370","9783031665387"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-66538-7_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"25 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salt Lake City, UT","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aime24.aimedicine.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}