This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2391) Electronic Health Records (966) Natural Language Processing (644) Machine Learning (1385) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) New Methods (909)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20545, first published .
Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice

Authors of this article:

Paul J Barr1, 2 Author Orcid Image ;   James Ryan3 Author Orcid Image ;   Nicholas C Jacobson2, 4, 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Paul J Barr   1, 2 , PhD, MScPH ;   James Ryan   3 , DO ;   Nicholas C Jacobson   2, 4, 5 , PhD

1 The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States

2 The Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States

3 Ryan Family Practice, Ludington, MI, United States

4 Biomedical Data Science, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States

5 Department of Psychiatry, Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Health, Lebanon, NH, United States

Corresponding Author:

  • Paul J Barr, PhD, MScPH
  • The Dartmouth Institute for Health Policy & Clinical Practice
  • Geisel School of Medicine at Dartmouth College
  • 46 Centerra Parkway
  • Lebanon, NH, 03766
  • United States
  • Phone: 1 603-653-0863
  • Email: paul.j.barr@dartmouth.edu