{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:00Z","timestamp":1755219840685,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"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":[[2025,8,7]]},"abstract":"<jats:p>This study addresses privacy concerns in multi-institutional data sharing by applying federated learning (FL) to develop a predictive model for prolonged air leaks (PAL) following video-assisted thoracoscopic surgery (VATS). Utilizing standardized electronic health record (EHR) data from two hospitals in Japan, we maintained a high discriminatory accuracy by exchanging only model parameters without sharing the underlying data, thereby ensuring patient privacy. These results suggest that FL can improve the accuracy of predictive models in healthcare while protecting data privacy. However, compared with models developed using centralized data, models built with FL tended to be more influenced by facilities with larger case volumes, indicating the need for further validation.<\/jats:p>","DOI":"10.3233\/shti250996","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:37:37Z","timestamp":1754566657000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of Federated Learning Using Standardized EHR Data in Japan"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0769-7763","authenticated-orcid":false,"given":"Koutarou","family":"Matsumoto","sequence":"first","affiliation":[{"name":"Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University"},{"name":"Biostatistics Center, Kurume University"},{"name":"Institute for Medical Information Research and Analysis, Saiseikai Kumamoto Hospital"}]},{"given":"Saori","family":"Tou","sequence":"additional","affiliation":[{"name":"Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University"}]},{"given":"Yuta","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Biostatistics Center, Kurume University"}]},{"given":"Asato","family":"Hashinokuchi","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Kyushu University Hospital"}]},{"given":"Fumihiko","family":"Kinoshita","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Kyushu University Hospital"}]},{"given":"Hideki","family":"Nakaguma","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Research and Analysis, Saiseikai Kumamoto Hospital"}]},{"given":"Yukio","family":"Kozuma","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Research and Analysis, Saiseikai Kumamoto Hospital"}]},{"given":"Rui","family":"Sugeta","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Research and Analysis, Saiseikai Kumamoto Hospital"}]},{"given":"Yi-Ju","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National Yang Ming Chiao Tung University"}]},{"given":"Yasunobu","family":"Nohara","sequence":"additional","affiliation":[{"name":"Big Data Science and Technology, Faculty of Advanced Science and Technology, Kumamoto University"}]},{"given":"Takanori","family":"Yamashita","sequence":"additional","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital"}]},{"given":"Yoshifumi","family":"Wakata","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Tokushima University Hospital"}]},{"given":"Tomoyoshi","family":"Takenaka","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Kyushu University Hospital"}]},{"given":"Kazunori","family":"Iwatani","sequence":"additional","affiliation":[{"name":"Division of Respiratory Surgery, Saiseikai Kumamoto Hospital"}]},{"given":"Hidehisa","family":"Soejima","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Research and Analysis, Saiseikai Kumamoto Hospital"}]},{"given":"Naoki","family":"Nakashima","sequence":"additional","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital"},{"name":"Department of Medical Informatics, Graduate School of Medical Sciences, Kyushu University"}]},{"given":"Masahiro","family":"Kamouchi","sequence":"additional","affiliation":[{"name":"Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University"},{"name":"Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:37:38Z","timestamp":1754566658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250996","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}