Cargando…
Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of future severe hypoglycemia (SH). RESEARCH DESIGN AND...
Autores principales: | Misra-Hebert, Anita D., Milinovich, Alex, Zajichek, Alex, Ji, Xinge, Hobbs, Todd D., Weng, Wayne, Petraro, Paul, Kong, Sheldon X., Mocarski, Michelle, Ganguly, Rahul, Bauman, Janine M., Pantalone, Kevin M., Zimmerman, Robert S., Kattan, Michael W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372042/ https://www.ncbi.nlm.nih.gov/pubmed/32414887 http://dx.doi.org/10.2337/dc19-1791 |
Ejemplares similares
-
The Probability of A1C Goal Attainment in Patients With Uncontrolled Type 2 Diabetes in a Large Integrated Delivery System: A Prediction Model
por: Pantalone, Kevin M., et al.
Publicado: (2020) -
Association between shared medical appointments and weight loss outcomes and anti‐obesity medication use in patients with obesity
por: Shibuya, Kelly, et al.
Publicado: (2020) -
Antidiabetic treatment patterns and specialty care utilization among patients with type 2 diabetes and cardiovascular disease
por: Pantalone, Kevin M., et al.
Publicado: (2018) -
Testosterone replacement therapy and the risk of adverse cardiovascular outcomes and mortality
por: Pantalone, Kevin M., et al.
Publicado: (2019) -
Addressing Therapeutic Inertia: Development and Implementation of an Electronic Health Record–Based Diabetes Intensification Tool
por: Pantalone, Kevin M., et al.
Publicado: (2023)