Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages.

Hull, Thomas D; Levine, Jacob; Bantilan, Niels; Desai, Angel N; Majumder, Maimuna S

Hull, Thomas D; Levine, Jacob; Bantilan, Niels; Desai, Angel N; Majumder, Maimuna S.

Afiliación

Hull TD; Talkspace, New York, NY, United States.
Levine J; Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, United States.
Bantilan N; Talkspace, New York, NY, United States.
Desai AN; Talkspace, New York, NY, United States.
Majumder MS; Department of Internal Medicine, University of California at Davis, Davis, CA, United States.

JMIR Form Res ; 5(2): e26190, 2021 Feb 09.

Article en En | MEDLINE | ID: mdl-33502999

Palabras clave

COVID-19; burden; digital mental health; digital phenotyping; machine learning; mental health; natural language processing; phenotyping; symptom; telehealth; treatment

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: JMIR Form Res Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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