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, United States

2 Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, United States

3 Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States

4 Meyers Primary Care Institute, Worcester, MA, United States

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

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

7 Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States

Corresponding Author:

  • Hong Yu, MA, MS, PhD
  • Department of Computer Science
  • University of Massachusetts Lowell
  • 1 University Ave
  • Lowell, MA, 01854
  • United States
  • Phone: 1 978 934 3620
  • Fax: 1 978 934 3551
  • Email: Hong_Yu@uml.edu