{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:43Z","timestamp":1755219883083,"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>In the electronic medical record (EHR), few data items accurately represent the disease pathology itself. Therefore, we need algorithms to extract various diseases with the highest possible accuracy from the EHR. Therefore, we created and validated outcome definitions to identify six diseases from MID-NET, a Japanese large-scale infrastructure database of Data-driven medical studies established for drug safety by PMDA (Pharmaceuticals and Medical Devices Agency). Each definition was practical enough to use for a large-scale clinical database. In addition, PPVs and sensitivities differed between medical facilities, allowing us to identify issues in creating and operating definitions. Our research is expected to contribute to developing transnational outcome definitions.<\/jats:p>","DOI":"10.3233\/shti251202","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:22Z","timestamp":1754567062000},"source":"Crossref","is-referenced-by-count":0,"title":["Usefulness and Challenges in Developing Disease Extraction Algorithms in Japanese Large-Scale Data-Driven Databases"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8674-8244","authenticated-orcid":false,"given":"Naoichi","family":"Sato","sequence":"first","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital, Fukuoka"}]},{"given":"Rieko","family":"Izukura","sequence":"additional","affiliation":[{"name":"School of Nursing, Faculty of Medicine, University of Miyazaki, Miyazaki"}]},{"given":"Shinichiro","family":"Ikeda","sequence":"additional","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital, Fukuoka"}]},{"given":"Takanori","family":"Yamashita","sequence":"additional","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital, Fukuoka"}]},{"given":"Naoki","family":"Nakashima","sequence":"additional","affiliation":[{"name":"Medical Information Center, Kyushu University Hospital, Fukuoka"},{"name":"Medical Informatics, Graduate School of Medical Sciences, Kyushu University, Fukuoka"}]}],"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\/SHTI251202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:22Z","timestamp":1754567062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251202","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]]}}}