{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:01Z","timestamp":1755219841798,"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>Preterm birth is one of the most important neonatal complications. In this study, we aimed to establish an artificial intelligence model for early prediction of preterm birth. Based on genetic and lifestyle data from over 20,000 neonates, we developed high-performed early prediction models up to 0.92 of AUC. Our developed models will help early prediction and appropriate intervention of preterm birth.<\/jats:p>","DOI":"10.3233\/shti251285","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:47:11Z","timestamp":1754567231000},"source":"Crossref","is-referenced-by-count":0,"title":["Development of AI Models for Early Prediction of Preterm Birth"],"prefix":"10.3233","author":[{"given":"Satoshi","family":"Mizuno","sequence":"first","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Satoshi","family":"Nagaie","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Gen","family":"Tamiya","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Shinichi","family":"Kuriyama","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Taku","family":"Obara","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Mami","family":"Ishikuro","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Hiroshi","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Graduate school of Medicine, The Tokyo University, Tokyo, Japan"}]},{"given":"Kengo","family":"Kinoshita","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Junichi","family":"Sugawara","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Masayuki","family":"Yamamoto","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"}]},{"given":"Nobuo","family":"Yaegashi","sequence":"additional","affiliation":[{"name":"Japan Red Cross Sendai Hospital, Sendai, Japan"}]},{"given":"Masatoshi","family":"Saito","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University, Sendai, Japan"}]},{"given":"Soichi","family":"Ogishima","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan"},{"name":"INGEM, Tohoku University, Sendai, Japan"}]}],"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\/SHTI251285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:47:11Z","timestamp":1754567231000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251285"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251285","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]]}}}