Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait

Objective: In recent decades, the Arab population has experienced an increase in the prevalence of type 2 diabetes (T2DM), particularly within the Gulf Cooperation Council. In this context, early intervention programmes rely on an ability to identify individuals at risk of T2DM. We aimed to build pr...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en:Front Endocrinol (Lausanne)
Main Authors: Farran, Bassam, AlWotayan, Rihab, Alkandari, Hessa, Al-Abdulrazzaq, Dalia, Channanath, Arshad, Thanaraj, Thangavel Alphonse
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2019
Assuntos:
Endocrinology
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6749017/
https://ncbi.nlm.nih.gov/pubmed/31572303
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fendo.2019.00624
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares