{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:52Z","timestamp":1747216192271,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685335"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,22]]},"abstract":"<jats:p>This study addresses the missing data problem in the large-scale medical dataset MIMIC-IV, especially in situations where intubation-extubation events are paired. We employed a strategy involving patient scenario works that checked the temporal order and logical links of intubation\/extubation data, and seven reconstruction rules for handling missing values. Through this, we reduced the overall loss rate from 36.89% (3321 records) to 13.37% (1204 records) and achieved a 37.26% data increase (+2117 records) compared to before reconstruction(6582).<\/jats:p>","DOI":"10.3233\/shti240726","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:28:58Z","timestamp":1724408938000},"source":"Crossref","is-referenced-by-count":0,"title":["Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6151-2497","authenticated-orcid":false,"given":"Sujung","family":"Lee","sequence":"first","affiliation":[{"name":"Department of medical informatics, College of Medicine, The Catholic University of Korea, Republic of Korea"},{"name":"Medical AI LAB, MODULABS, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0523-9294","authenticated-orcid":false,"given":"Daechul","family":"Seo","sequence":"additional","affiliation":[{"name":"Medical AI LAB, MODULABS, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4045-0036","authenticated-orcid":false,"given":"Taehoon","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of medical informatics, College of Medicine, The Catholic University of Korea, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240726","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:28:59Z","timestamp":1724408939000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240726"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240726","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}