Published on in Vol 22 , No 3 (2020) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16374, first published .
Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

Subendhu Rongali 1 , BTech ;   Adam J Rose 2 , MSc, MD ;   David D McManus 3 , MSc, MD ;   Adarsha S Bajracharya 3 , MD ;   Alok Kapoor 3, 4 , MSc, MD ;   Edgard Granillo 5 , MD ;   Hong Yu 1, 3, 6, 7 , MA, MS, PhD

1 College of Information and Computer Sciences , University of Massachusetts Amherst , Amherst , MA , US

2 Section of General Internal Medicine , Boston University School of Medicine , Boston , MA , US

3 Department of Medicine , University of Massachusetts Medical School , Worcester , MA , US

4 Meyers Primary Care Institute , Worcester , MA , US

5 Department of Population and Quantitative Health Sciences , University of Massachusetts Medical School , Worcester , MA , US

6 Center for Healthcare Organization and Implementation Research , Bedford Veterans Affairs Medical Center , Bedford , MA , US

7 Department of Computer Science , University of Massachusetts Lowell , Lowell , MA , US

Corresponding Author:

  • Hong Yu, MA, MS, PhD
  • Department of Computer Science
  • University of Massachusetts Lowell
  • 1 University Ave
  • Lowell, MA
  • US
  • Phone: 1 978 934 3620
  • Email: Hong_Yu@uml.edu