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A machine learning approach identifies modulators of heart failure hospitalization prevention among patients with type 2 diabetes: A revisit to the ACCORD trial.
Kianmehr, Hamed; Guo, Jingchuan; Lin, Yilu; Luo, Jing; Cushman, William; Shi, Lizheng; Fonseca, Vivian; Shao, Hui.
Afiliação
  • Kianmehr H; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, FL, USA.
  • Guo J; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, FL, USA.
  • Lin Y; Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
  • Luo J; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Cushman W; Department of Preventive Medicine, University of Tennessee Health Science Center, TN, USA.
  • Shi L; Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
  • Fonseca V; Department of Medicine and Pharmacology, School of Medicine, Tulane University, New Orleans, LA, USA.
  • Shao H; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, FL, USA. Electronic address: hui.shao@cop.ufl.edu.
J Diabetes Complications ; 36(9): 108287, 2022 09.
Article em En | MEDLINE | ID: mdl-36007486

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Insuficiência Cardíaca / Hipertensão Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Insuficiência Cardíaca / Hipertensão Idioma: En Ano de publicação: 2022 Tipo de documento: Article