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

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

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

2 Department of Psychology, University of South Florida, 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

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