Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm

BACKGROUND: Prediabetes affects 1 in 3 US adults. Most are not receiving evidence-based interventions, so understanding how providers discuss prediabetes with patients will inform how to improve their care. OBJECTIVE: This study aimed to develop a natural language processing (NLP) algorithm using ma...

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Detalles Bibliográficos
Autores principales: Schwartz, Jessica L, Tseng, Eva, Maruthur, Nisa M, Rouhizadeh, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914791/
https://www.ncbi.nlm.nih.gov/pubmed/35200154
http://dx.doi.org/10.2196/29803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914791/
https://www.ncbi.nlm.nih.gov/pubmed/35200154
http://dx.doi.org/10.2196/29803

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