Developing a Risk Stratification Model Based on Machine Learning for Targeted Screening of Diabetic Retinopathy in the Indian Population

• Published in: Curēus (Palo Alto, CA) Vol. 15; no. 9; p. e45853
• Main Authors: Surya, Janani, Kashyap, Himanshu, Nadig, Ramya R, Raman, Rajiv
• Format: Journal Article
• Language: English
• Published: Palo Alto Springer Nature B.V 24.09.2023; Cureus
• Subjects: Algorithms; Artificial intelligence; Blood pressure; Body mass index; Diabetes; Diabetic retinopathy; Epidemiology/Public Health; Fasting; Hemoglobin; Insulin; Machine learning; Neural networks; Ophthalmology; Photography; Population-based studies; Public Health; Risk factors; Statistical analysis; Support vector machines; Variables; India

Objective: This study aimed to develop a predictive risk score model based on deep learning (DL) independent of fundus photography, totally reliant on systemic data through targeted screening from a population-based study to diagnose diabetic retinopathy (DR) in the Indian population.Methods: It inv...