{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:03Z","timestamp":1755219843168,"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>Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CPP), presents diagnostic challenges in pediatric endocrinology, leading to delayed interventions. This study utilized machine learning models\u2014Random Forest (RF), Gradient Boosting Machine (GBM), and Extreme Gradient Boosting (XGB)\u2014to predict and differentiate between PPP and CPP using 12 clinical features extracted from electronic medical records (EMRs). Internal validation on TMUH data showed XGB achieving the highest sensitivity (0.88) and AUC (0.86). In external validation with WFH data, RF demonstrated superior generalizability, with a sensitivity of 0.91 and AUC of 0.89. These results highlight RF\u2019s robustness for cross-hospital implementation and the potential of machine learning to improve early diagnosis of precocious puberty.<\/jats:p>","DOI":"10.3233\/shti251008","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:38:04Z","timestamp":1754566684000},"source":"Crossref","is-referenced-by-count":0,"title":["Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation"],"prefix":"10.3233","author":[{"given":"Chun-Yen","family":"Cheng","sequence":"first","affiliation":[{"name":"Ph.D. Program in Medical Biotechnology, Taipei Medical University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9634-8380","authenticated-orcid":false,"given":"Yung-Chun","family":"Chang","sequence":"additional","affiliation":[{"name":"Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Quoc Khanh","family":"Le","sequence":"additional","affiliation":[{"name":"Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao-Hsu","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Hsinchu Mackay Memorial Hospital, Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia-Woei","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Cathay General Hospital, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Taipei Medical University Hospital, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7011-3754","authenticated-orcid":false,"given":"Tzu-Hao","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min-Huei","family":"Hsu","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Informatics, Taipei Medical University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/SHTI251008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:38:04Z","timestamp":1754566684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251008","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]]}}}