Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population.

Journal: Ophthalmic epidemiology
Published Date:

Abstract

PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabetic Retinopathy (DR) diagnosis and have been widely studied. This study examines how these three secondary RFs independently affect the predictive capacity of primary RFs.

Authors

  • Abhishek Vyas
    Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, India.
  • Aadit Deshpande
    Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, India.
  • Sagnik Sen
    Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Ramasamy Kim
    Aravind Medical Research Foundation, Aravind Eye Care System, Madurai, India.
  • Ramachandran Rajalakshmi
    Department of Diabetology, Ophthalmology and Epidemiology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
  • Viswanathan Mohan
    Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Gopalapuram, Chennai 600086, India.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Sundaresan Raman
    Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani, Rajasthan, India.