Your browser doesn't support javascript.
loading
An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study.
Mirjalili, Seyed Reza; Soltani, Sepideh; Heidari Meybodi, Zahra; Marques-Vidal, Pedro; Kraemer, Alexander; Sarebanhassanabadi, Mohammadtaghi.
Afiliación
  • Mirjalili SR; Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Soltani S; Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Heidari Meybodi Z; Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Marques-Vidal P; Department of Internal Medicine, BH10-642, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
  • Kraemer A; Department of Health Sciences, Bielefeld University, Bielefeld, Germany.
  • Sarebanhassanabadi M; Yazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. mtsareban@gmail.com.
Cardiovasc Diabetol ; 22(1): 200, 2023 08 04.
Article en En | MEDLINE | ID: mdl-37542255
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Enfermedad Coronaria / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Cardiovasc Diabetol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Irán
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Enfermedad Coronaria / Diabetes Mellitus Tipo 2 Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Cardiovasc Diabetol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Irán