Published on in Vol 7, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9466, first published .
Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

Sujay Kakarmath 1, 2, 3, MBBS, MSc;  Sara Golas 3, MA;  Jennifer Felsted 2, 3, PhD;  Joseph Kvedar 1, 2, 4, MD;  Kamal Jethwani 1, 2, 4, MD, MPH;  Stephen Agboola 1, 2, 3, MD, MPH

1 Department of Dermatology , Massachusetts General Hospital, Boston, MA, US

2 Department of Dermatology , Harvard Medical School, Boston, MA, US

3 Data Science and Analytics Unit, Partners Connected Health, Partners HealthCare, Boston, MA, US

4 Partners Connected Health , Partners HealthCare, Boston, MA, US

Corresponding Author:

  • Sujay Kakarmath, MBBS, MSc
  • Data Science and Analytics Unit
  • Partners Connected Health
  • Partners HealthCare
  • 25 New Chardon Street, Suite 300
  • Boston, MA
  • US
  • Phone: 1 6177240041
  • Email: skakarmath@mgh.harvard.edu