Published on in Vol 6, No 5 (2022): May
![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](https://asset.jmir.pub/assets/1edf201f33e5d4cc9159f4b5374b4df4.png 480w,https://asset.jmir.pub/assets/1edf201f33e5d4cc9159f4b5374b4df4.png 960w,https://asset.jmir.pub/assets/1edf201f33e5d4cc9159f4b5374b4df4.png 1920w,https://asset.jmir.pub/assets/1edf201f33e5d4cc9159f4b5374b4df4.png 2500w)
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