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Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review.
Mistry, Sejal; Riches, Naomi O; Gouripeddi, Ramkiran; Facelli, Julio C.
  • Mistry S; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Center of Excellence for Exposure Health Informatics, University of Utah, Salt Lake City, UT, USA.
  • Riches NO; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Center of Excellence for Exposure Health Informatics, University of Utah, Salt Lake City, UT, USA; Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Gouripeddi R; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Center of Excellence for Exposure Health Informatics, University of Utah, Salt Lake City, UT, USA; Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA.
  • Facelli JC; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Center of Excellence for Exposure Health Informatics, University of Utah, Salt Lake City, UT, USA; Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA. Electronic address: julio.f
Artif Intell Med ; 135: 102461, 2023 01.
Article en En | MEDLINE | ID: mdl-36628796

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article