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

Formative Evaluation of Digital Health Interventions (1732) Natural Language Processing (535) Electronic Health Records (839) Depression and Mood Disorders; Suicide Prevention (1134) Clinical Information and Decision Making (1041)

Published on in Vol 6 , No 5 (2022) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34436, first published .
The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records

The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records

The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records

Authors of this article:

Vanessa Panaite 1, 2 Author Orcid Image ;   Andrew R Devendorf 1, 2 Author Orcid Image ;   Dezon Finch 2 Author Orcid Image ;   Lina Bouayad 3 Author Orcid Image ;   Stephen L Luther 2, 4 Author Orcid Image ;   Susan K Schultz 5, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Vanessa Panaite   1, 2 , PhD ;   Andrew R Devendorf   1, 2 , MA ;   Dezon Finch   2 , PhD ;   Lina Bouayad   3 , PhD ;   Stephen L Luther   2, 4 , PhD ;   Susan K Schultz   5, 6 , MD

1 Department of Psychology, University of South Florida, Tampa, FL, United States

2 Research Service, James A. Haley Veterans' Hospital, Tampa, FL, United States

3 Department of Information Systems and Business Analytics, Florida International University, Miami, FL, United States

4 College of Public Health, University of South Florida, Tampa, FL, United States

5 Mental Health and Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, FL, United States

6 Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, FL, United States

Corresponding Author: