Development of a Dynamic Diagnosis Grading System for Infertility Using Machine Learning.

Journal: JAMA network open
Published Date: Nov 2, 2020

Abstract

IMPORTANCE: Many indicators need to be considered when judging the condition of patients with infertility, which makes diagnosis and treatment complicated.

Authors

  • Shujie Liao
    Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College of HUST, Wuhan, Hubei, People's Republic of China.
  • Wei Pan
  • Wan-Qiang Dai
    School of Economics and Management, Wuhan University, Wuhan, China.
  • Lei Jin
    Department of Chemistry, University of Connecticut, Storrs, Connecticut 06269, United States.
  • Ge Huang
    School of Economics and Management, Wuhan University, Wuhan, China.
  • Renjie Wang
    School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400030, China; Key Disciplines Lab of Novel Micro-nano Devices and System Technology, Chongqing University, Chongqing 400030, China; International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing 400030, China.
  • Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China.
  • Wulin Pan
    School of Economics and Management, Wuhan University, Wuhan, China.
  • Haiting Tu
    School of Economics and Management, Wuhan University, Wuhan, China.

Keywords

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