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Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes.
Periyathambi, Nishanthi; Parkhi, Durga; Ghebremichael-Weldeselassie, Yonas; Patel, Vinod; Sukumar, Nithya; Siddharthan, Rahul; Narlikar, Leelavati; Saravanan, Ponnusamy.
Afiliación
  • Periyathambi N; Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Parkhi D; Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom.
  • Ghebremichael-Weldeselassie Y; Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Patel V; Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Sukumar N; School of Mathematics and Statistics, The Open University, Milton Keynes, United Kingdom.
  • Siddharthan R; Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom.
  • Narlikar L; Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
  • Saravanan P; Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom.
PLoS One ; 17(3): e0264648, 2022.
Article en En | MEDLINE | ID: mdl-35255105
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Pregnancy Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans / Male / Pregnancy Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido