{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:32Z","timestamp":1747216172925,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684567"},{"type":"electronic","value":"9781643684574"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"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":[[2024,1,25]]},"abstract":"<jats:p>This study developed readmission prediction models using Home Healthcare (HHC) documents via natural language processing (NLP). An electronic health record of Ajou University Hospital was used to develop prediction models (A reference model using only structured data, and an NLP-enriched model with structured and unstructured data). Among 573 patients, 63 were readmitted to the hospital. Five topics were extracted from HHC documents and improved the model performance (AUROC 0.740).<\/jats:p>","DOI":"10.3233\/shti231233","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:31Z","timestamp":1706178571000},"source":"Crossref","is-referenced-by-count":0,"title":["Prediction Models for Readmission Using Home Healthcare Notes and OMOP-CDM"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3326-8428","authenticated-orcid":false,"given":"Sujin","family":"Gan","sequence":"first","affiliation":[{"name":"Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1802-1777","authenticated-orcid":false,"given":"Chungsoo","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3678-9862","authenticated-orcid":false,"given":"Dong Yun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4989-3287","authenticated-orcid":false,"given":"Rae Woong","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea"},{"name":"Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:31Z","timestamp":1706178571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231233"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231233","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}