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

Digital Health Reviews (1729) Cancer Prognosis Models and Machine Learning (67) Machine Learning (2080) Artificial Intelligence (2140)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73528, first published .
Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis

Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis

Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis

Authors of this article:

Kaixin Chen1 Author Orcid Image ;   Yin Qu1 Author Orcid Image ;   Ye Han1 Author Orcid Image ;   Yan Li2 Author Orcid Image ;   Huiyan Gao3 Author Orcid Image ;   De Zheng1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Kaixin Chen   1 * , BS ;   Yin Qu   1 * , MD ;   Ye Han   1 , BS ;   Yan Li   2 , MM ;   Huiyan Gao   3 , MM ;   De Zheng   1 , MD

1 Department of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine; Anorectal Disease Institute of Shuguang Hospital, Shanghai, China

2 Department of Traditional Chinese Medicine Anorectal Surgery, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China

3 Traditional Chinese Medicine Department, Shanghai Pudong New Area Beicai Community Health Service Center, Pudong New Area, Shanghai, China

*these authors contributed equally

Corresponding Author:

  • De Zheng, MD
  • Department of Anorectal Surgery
  • Shuguang Hospital, Shanghai University of Traditional Chinese Medicine; Anorectal Disease Institute of Shuguang Hospital
  • 528 Zhangheng Road
  • Shanghai 201203
  • China
  • Phone: 86 13641763662
  • Email: zd1232@sina.com