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

Vyas, Abhishek; Deshpande, Aadit; Sen, Sagnik; Kim, Ramasamy; Rajalakshmi, Ramachandran; Mohan, Viswanathan; Raman, Rajiv; Raman, Sundaresan

Vyas, Abhishek; Deshpande, Aadit; Sen, Sagnik; Kim, Ramasamy; Rajalakshmi, Ramachandran; Mohan, Viswanathan; Raman, Rajiv; Raman, Sundaresan.

Afiliación

Vyas A; Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, India.
Deshpande A; Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, India.
Sen S; Retina & Vitreous Service, Aravind Eye Hospital, Madurai, India.
Kim R; Moorfields Eye Hospital, London, UK.
Rajalakshmi R; Retina & Vitreous Service, Aravind Eye Hospital, Madurai, India.
Mohan V; Diabetes, Dr. Mohans Diabetes Specialities Centre, Chennai, India.
Raman R; Diabetes, Dr. Mohans Diabetes Specialities Centre, Chennai, India.
Raman S; Vitreoretinal Services, Sankara Nethralaya Medical Research Foundation, Chennai, India.

Ophthalmic Epidemiol ; : 1-7, 2023 Dec 12.

Article en En | MEDLINE | ID: mdl-38085807

Palabras clave

Diabetic retinopathy; autoencoder; feature selection; primary; risk factor; secondary

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Ophthalmic Epidemiol Asunto de la revista: EPIDEMIOLOGIA / OFTALMOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: India

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