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Estimation of a Machine Learning-Based Decision Rule to Reduce Hypoglycemia Among Older Adults With Type 1 Diabetes: A Post Hoc Analysis of Continuous Glucose Monitoring in the WISDM Study.
Kahkoska, Anna R; Shah, Kushal S; Kosorok, Michael R; Miller, Kellee M; Rickels, Michael; Weinstock, Ruth S; Young, Laura A; Pratley, Richard E.
Afiliación
  • Kahkoska AR; Department of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Shah KS; UNC Center for Aging and Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Kosorok MR; Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Miller KM; Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Rickels M; Jaeb Center for Health Research, Tampa, FL, USA.
  • Weinstock RS; Rodebaugh Diabetes Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Young LA; Division of Endocrinology, Diabetes, and Metabolism, SUNY Upstate Medical University, Syracuse, NY, USA.
  • Pratley RE; Division of Endocrinology and Metabolism, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
J Diabetes Sci Technol ; : 19322968221149040, 2023 Jan 11.
Article en En | MEDLINE | ID: mdl-36629330

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Diabetes Sci Technol Asunto de la revista: ENDOCRINOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Diabetes Sci Technol Asunto de la revista: ENDOCRINOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos