Cargando…
Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study
BACKGROUND: Free-text communication between patients and providers plays an increasing role in chronic disease management, through platforms varying from traditional health care portals to novel mobile messaging apps. These text data are rich resources for clinical purposes, but their sheer volume r...
Autores principales: | Davoudi, Anahita, Lee, Natalie S, Luong, ThaiBinh, Delaney, Timothy, Asch, Elizabeth, Chaiyachati, Krisda, Mowery, Danielle |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280462/ https://www.ncbi.nlm.nih.gov/pubmed/35767327 http://dx.doi.org/10.2196/36151 |
Ejemplares similares
-
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study
por: Davoudi, Anahita, et al.
Publicado: (2020) -
Mining images in biomedical publications: Detection and analysis of gel
diagrams
por: Kuhn, Tobias, et al.
Publicado: (2014) -
Clinician Decisions After Notification of Elevated Blood Pressure Measurements From Patients in a Remote Monitoring Program
por: Lee, Natalie S., et al.
Publicado: (2022) -
Annotation and extraction of age and temporally-related events from clinical histories
por: Hong, Judy, et al.
Publicado: (2020) -
Creating Virtual Presence During a Pandemic
por: Millstein, Jeffrey H, et al.
Publicado: (2020)