Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

BACKGROUND: Patient-generated health data (PGHD) captured via smart devices or digital health technologies can reflect an individual health journey. PGHD enables tracking and monitoring of personal health conditions, symptoms, and medications out of the clinic, which is crucial for self-care and sha...

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Detalles Bibliográficos
Autores principales: Sezgin, Emre, Hussain, Syed-Amad, Rust, Steve, Huang, Yungui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031450/
https://www.ncbi.nlm.nih.gov/pubmed/36881467
http://dx.doi.org/10.2196/43014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031450/
https://www.ncbi.nlm.nih.gov/pubmed/36881467
http://dx.doi.org/10.2196/43014

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