A scoping review of artificial intelligence-based methods for diabetes risk prediction

A scoping review of artificial intelligence-based methods for diabetes risk prediction

<p dir="ltr">The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health complications highlight the need to develop predictive models for early diagnosis and intervention. While many artificial intelligence (AI) models for T2DM risk prediction have emerged...

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Bibliographic Details
Main Author: Farida Mohsen (16994682) (author)
Other Authors: Hamada R. H. Al-Absi (16726299) (author), Noha A. Yousri (1392577) (author), Nady El Hajj (686554) (author), Zubair Shah (231886) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Clinical sciences
Health sciences
Health services and systems
Public health
Type 2 Diabetes Mellitus (T2DM)
Predictive Models
Early Diagnosis
Artificial Intelligence (AI)
Machine Learning (ML)
Electronic Health Records (EHR)
Risk Prediction
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