Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16129, first published .
Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Suranga N Kasthurirathne   1, 2 , PhD ;   Shaun Grannis   1, 2 , MS, MD ;   Paul K Halverson   3 , DrPH, FACHE ;   Justin Morea   2, 4 , MS, MBA, DO ;   Nir Menachemi   1, 3 , MPH, PhD ;   Joshua R Vest   1, 3 , MPH, PhD

1 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States

2 School of Medicine, Indiana University, Indianapolis, IN, United States

3 Richard M Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States

4 Eskenazi Health, Indianapolis, IN, United States

Corresponding Author:

  • Suranga N Kasthurirathne, PhD
  • Center for Biomedical Informatics
  • Regenstrief Institute
  • 1101 W 10th St.
  • Indianapolis, IN, 46202
  • United States
  • Phone: 1 3172749000
  • Email: snkasthu@iu.edu