Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.

Journal: BMJ open
PMID:

Abstract

OBJECTIVES: We aimed at identifying the important variables for labour induction intervention and assessing the predictive performance of machine learning algorithms.

Authors

  • Clifford Silver Tarimo
    College of Public Health, Zhengzhou University, Zhengzhou, China.
  • Soumitra S Bhuyan
    School of Planning and Public Policy, Rutgers University-New Brunswick, New York, New York, USA.
  • Quanman Li
    College of Public Health, Zhengzhou University, Zhengzhou, China.
  • Michael Johnson J Mahande
    Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, Tanzania, United Republic of.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Xiaoli Fu
    College of Public Health, Zhengzhou University, Zhengzhou, China xlfu66@126.com.