{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T20:18:10Z","timestamp":1773519490222,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"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>Malnutrition is a severe health problem that is prevalent in older people residing in residential aged care facilities. Recent advancements in machine learning have made it possible to extract key insight from electronic health records. To date, few researchers applied these techniques to classify nursing notes automatically. Therefore, we propose a model based on ClinicalBioBert to identify malnutrition notes. We evaluated our approach with two mainstream approaches. Our approach had the highest F1-score of 0.90.<\/jats:p>","DOI":"10.3233\/shti231240","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:42Z","timestamp":1706178582000},"source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning Model to Extract Malnutrition Data from Nursing Notes"],"prefix":"10.3233","author":[{"given":"Mohammad","family":"Alkhalaf","sequence":"first","affiliation":[{"name":"School of Computing and Information Technology, University of Wollongong, Australia"},{"name":"School of Computer Science, Qassim University, Qassim, 51452, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengyang","family":"Yin","sequence":"additional","affiliation":[{"name":"Opal Healthcare, Level 11\/420 George St, Sydney NSW 2000, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Medical, Indigenous and Health Sciences, University of Wollongong, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui-Chen (Rita)","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Nursing and Midwifery, Western Sydney University, Penrith NSW 2751 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computing and Information Technology, University of Wollongong, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/SHTI231240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:44Z","timestamp":1706178584000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231240"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231240","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}