Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.

Abstract

Authors

• Xi Bai
  Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China.
• Zhibo Zhou
  School of Computer Science and Engineering, Beihang University, Beijing, China.
• Zeyan Zheng
  Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
• Yansheng Li
  DHC Mediway Technology Co., Ltd., Beijing, China.
• Kejia Liu
  DHC Mediway Technology Co., Ltd., Beijing, China.
• Yuanjun Zheng
  DHC Mediway Technology CO., Ltd, Beijing, China.
• Hongbo Yang
  Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
• Huijuan Zhu
  Department of Endocrinology, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
• Shi Chen
  Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.
• Hui Pan
  Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.

Keywords

External Resources