Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.

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Title: Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.
Authors: Nguyen-Hoang L; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR., Sahota DS; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR., Pooh RK; CRIFM Prenatal Medical Clinic, Osaka, Japan., Duan H; Nanjing Drum Tower Hospital, Nanjing, China., Chaiyasit N; King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Sekizawa A; Showa University Hospital, Tokyo, Japan., Shaw SW; Taipei Chang Gung Memorial Hospital, Taipei, Taiwan., Seshadri S; Mediscan, Chennai, India., Choolani M; National University Hospital, Singapore., Yapan P; Faculty of Medicine, Siriraj Hospital, Bangkok, Thailand., Sim WS; Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore., Ma R; First Affiliated Hospital of Kunming Medical University, Kunming, China., Leung WC; Kwong Wah Hospital, Hong Kong SAR., Lau SL; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR., Lee NMW; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR., Leung HYH; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR., Meshali T; Department of Mathematics, Bar Ilan University, Ramat Gan, Israel., Meiri H; The ASPRE Consortium and TeleMarpe, Tel Aviv, Israel., Louzoun Y; Department of Mathematics, Bar Ilan University, Ramat Gan, Israel., Poon LC; Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Source: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics [Int J Gynaecol Obstet] 2024 Oct; Vol. 167 (1), pp. 350-359. Date of Electronic Publication: 2024 Apr 26.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0210174 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3479 (Electronic) Linking ISSN: 00207292 NLM ISO Abbreviation: Int J Gynaecol Obstet Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1879-3479
DOI:10.1002/ijgo.15563