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

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
PMID: 38666305

Abstract

OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.

Authors

  • Long Nguyen-Hoang
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
  • Daljit S Sahota
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
  • Ritsuko K Pooh
    CRIFM Prenatal Medical Clinic, Osaka, Japan.
  • Honglei Duan
    Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
  • Noppadol Chaiyasit
    King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
  • Akihiko Sekizawa
    Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo 142-8666, Japan.
  • Steven W Shaw
    Taipei Chang Gung Memorial Hospital, Taipei, Taiwan.
  • Suresh Seshadri
    Mediscan, Chennai, India.
  • Mahesh Choolani
    Deputy Editor, Singapore Medical Journal, Singapore.
  • Piengbulan Yapan
    Faculty of Medicine, Siriraj Hospital, Bangkok, Thailand.
  • Wen Shan Sim
    Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.
  • Runmei Ma
    Department of Obstetrics, Kunming Angel Women's and Children's Hospital, Kunming 650000, Yunnan, China. Corresponding author: Wan Linjun, Email: wanlj2003@yahoo.com.cn.
  • Wing Cheong Leung
    Kwong Wah Hospital, Hong Kong SAR.
  • So Ling Lau
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
  • Nikki May Wing Lee
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
  • Hiu Yu Hillary Leung
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
  • Tal Meshali
    Department of Mathematics, Bar Ilan University, Ramat Gan, Israel.
  • Hamutal Meiri
    The ASPRE Consortium and TeleMarpe, Tel Aviv, Israel.
  • Yoram Louzoun
    Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel.
  • Liona C Poon
    Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.

Keywords

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