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

Artificial Intelligence (1197) Machine Learning (1384) Pregnancy Information, Education and Lifestyle Interventions (284)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28856, first published .
Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Authors of this article:

Zahid Ullah1 Author Orcid Image ;   Farrukh Saleem1 Author Orcid Image ;   Mona Jamjoom2 Author Orcid Image ;   Bahjat Fakieh1 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Zahid Ullah   1 * , PhD ;   Farrukh Saleem   1 * , PhD ;   Mona Jamjoom   2 * , PhD ;   Bahjat Fakieh   1 * , PhD

1 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

2 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

*all authors contributed equally

Corresponding Author:

  • Mona Jamjoom, PhD
  • Department of Computer Sciences, College of Computer and Information Sciences
  • Princess Nourah Bint Abdulrahman University
  • PO Box 84428
  • Riyadh, 11671
  • Saudi Arabia
  • Phone: 966 505273052
  • Email: mmjamjoom@pnu.edu.sa