• Vishwesh Ram KV
• Akash NR
• Vishnukumar CR
• Selvakumar S

Machine Learning provides seemingly immense opportunities to computer aided classification and diagnosis that could reduce inevitable fallibilities diagnostic variations in Healthcare. Detection of Micro-aneurysm’s in Retina helps to ensure whether the person has diabetic retinopathy or not and to determine the severity of the disease and diagnose it. This project proposes an analysis to use optimistic algorithms through the study conducted using various algorithms. The Agenda is to provide a better understanding of the machine learning algorithms.

Machine Learning, Micro-aneurysm, Smart Diagnosis, PCA, SVM, RF, NN

"Micro-aneurysm Detection in Diabetic Patients using Principle Component Analysis(PCA) with Support Vector Machine(SVM), Random Forest(RF) and Neural Network(NN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.b799-b803, July-2022, Available :http://www.jetir.org/papers/JETIR2207198.pdf

"Micro-aneurysm Detection in Diabetic Patients using Principle Component Analysis(PCA) with Support Vector Machine(SVM), Random Forest(RF) and Neural Network(NN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppb799-b803, July-2022, Available at : http://www.jetir.org/papers/JETIR2207198.pdf