A Framework for Applying Natural Language Processing in Digital Health Interventions

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners su...

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Detalles Bibliográficos
Autores principales: Funk, Burkhardt, Sadeh-Sharvit, Shiri, Fitzsimmons-Craft, Ellen E, Trockel, Mickey Todd, Monterubio, Grace E, Goel, Neha J, Balantekin, Katherine N, Eichen, Dawn M, Flatt, Rachael E, Firebaugh, Marie-Laure, Jacobi, Corinna, Graham, Andrea K, Hoogendoorn, Mark, Wilfley, Denise E, Taylor, C Barr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059510/
https://www.ncbi.nlm.nih.gov/pubmed/32130118
http://dx.doi.org/10.2196/13855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059510/
https://www.ncbi.nlm.nih.gov/pubmed/32130118
http://dx.doi.org/10.2196/13855

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