{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T04:18:13Z","timestamp":1745554693102,"version":"3.40.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685922","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T00:00:00Z","timestamp":1745452800000},"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":[[2025,4,24]]},"abstract":"<jats:p>Background: Managing geriatric risks is challenging, as early detection of conditions like delirium, frailty, dysphagia, falls, and malnutrition relies on time-intensive manual assessments requiring geriatric expertise. ML approaches can support healthcare professionals by enabling automated risk prediction using electronic health records (EHR) data, but existing models often lack geriatric-specific features. Objectives: This study examines whether incorporating geriatric-specific features improves EHR-based prediction models for key geriatric risks and whether a one-shot Federated Learning (FL) approach enhances performance. Methods: EHR data from three hospital providers were linked with acute geriatric data to develop and compare three model types: (1) a baseline model using only EHR data, (2) a model incorporating geriatric-specific features, and (3) a FL ensemble. Results: Inclusion of geriatric-specific features significantly improved model performance, while a one-shot FL approach provided only marginal, non-significant additional benefit. Conclusion: Geriatric-specific features are essential for capturing the complexity of the acute geriatric population.<\/jats:p>","DOI":"10.3233\/shti250186","type":"book-chapter","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T09:29:49Z","timestamp":1745486989000},"source":"Crossref","is-referenced-by-count":0,"title":["It\u2019s All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital Providers"],"prefix":"10.3233","author":[{"given":"Julian","family":"Gutheil","sequence":"first","affiliation":[{"name":"JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip","family":"Stampfer","sequence":"additional","affiliation":[{"name":"JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diether","family":"Kramer","sequence":"additional","affiliation":[{"name":"PH Predicting Health GmbH, Graz, Austria"},{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Schrempf","sequence":"additional","affiliation":[{"name":"PH Predicting Health GmbH, Graz, Austria"},{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefanie","family":"Jauk","sequence":"additional","affiliation":[{"name":"PH Predicting Health GmbH, Graz, Austria"},{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai Pavan Kumar","family":"Veeranki","sequence":"additional","affiliation":[{"name":"PH Predicting Health GmbH, Graz, Austria"},{"name":"Steierm\u00e4rkische Krankenanstaltengesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Mrak","sequence":"additional","affiliation":[{"name":"\u00d6sterreichische Gesellschaft f\u00fcr Geriatrie und Gerontologie, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georg","family":"Pinter","sequence":"additional","affiliation":[{"name":"Landeskrankenanstalten-Betriebsgesellschaft \u2013 KABEG, Klagenfurt, Austria"},{"name":"\u00d6sterreichische Gesellschaft f\u00fcr Geriatrie und Gerontologie, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franz","family":"Feichtner","sequence":"additional","affiliation":[{"name":"JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","dHealth 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T09:29:50Z","timestamp":1745486990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250186"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,24]]},"ISBN":["9781643685922"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250186","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,24]]}}}