This paper is in the following e-collection/theme issue:

General Articles on Innovation and Technology in Public Health (72) Machine Learning (1465) Cancer Survivorship (258) Breast Cancer (206) Artificial Intelligence (1371) Cancer Prognosis Models and Machine Learning (14) Innovations and Technology in Cancer Research (33)

Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35750, first published .
An Assessment of the Predictive Performance of Current Machine Learning–Based Breast Cancer Risk Prediction Models: Systematic Review

An Assessment of the Predictive Performance of Current Machine Learning–Based Breast Cancer Risk Prediction Models: Systematic Review

An Assessment of the Predictive Performance of Current Machine Learning–Based Breast Cancer Risk Prediction Models: Systematic Review

Authors of this article:

Ying Gao1 Author Orcid Image ;   Shu Li2 Author Orcid Image ;   Yujing Jin1 Author Orcid Image ;   Lengxiao Zhou1 Author Orcid Image ;   Shaomei Sun1 Author Orcid Image ;   Xiaoqian Xu1 Author Orcid Image ;   Shuqian Li1 Author Orcid Image ;   Hongxi Yang3 Author Orcid Image ;   Qing Zhang1 Author Orcid Image ;   Yaogang Wang4 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Ying Gao   1 , PhD ;   Shu Li   2 , PhD ;   Yujing Jin   1 , MM ;   Lengxiao Zhou   1 , MM ;   Shaomei Sun   1 , MM ;   Xiaoqian Xu   1 , MM ;   Shuqian Li   1 , MM ;   Hongxi Yang   3 , PhD ;   Qing Zhang   1 , MM ;   Yaogang Wang   4 , MD, PhD

1 Health Management Center, Tianjin Medical University General Hospital, Tianjin, China

2 School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China

3 Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China

4 School of Public Health, Tianjin Medical University, Tianjin, China

Corresponding Author:

  • Yaogang Wang, MD, PhD
  • School of Public Health, Tianjin Medical University
  • Qixiangtai Road 22, Heping District
  • Tianjin, 300070
  • China
  • Phone: 86 02260361238
  • Fax: 86 02260361234
  • Email: wangyg@tmu.edu.cn