Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33875, first published .
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-Heris   1 , MSN ;   Juho Laitala   2 , MSc ;   Antti Airola   2 , PhD ;   Amir M Rahmani   1 , PhD ;   Miriam Bender   1 , PhD

1 Sue & Bill Gross School of Nursing, University of California, Irvine, CA, United States

2 Department of Computing, University of Turku, Turku, Finland

Corresponding Author:

  • Zahra Sharifi-Heris, MSN
  • Sue & Bill Gross School of Nursing
  • University of California
  • 802 W Peltason Dr
  • Irvine, CA, 92697
  • United States
  • Phone: 1 6506805432
  • Email: sharifiz@uci.edu