Published on 20.4.2022 in Vol 10, No 4 (2022): April

This is a member publication of University of California, Irvine, Emergency Medicine, Orange, California

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33875, first published September 27, 2021.

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review

Zahra Sharifi-Heris¹

; Juho Laitala²

; Antti Airola²

; Amir M Rahmani¹

; Miriam Bender¹

Article Authors Cited by (10) Tweetations (8) Metrics

All Time | Last Month | Last Six Months | Last Year

There are currently no tweets available for this article within the specified range.