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DEVELOPING A SMART INTEGRATED MODEL BASED ON MACHINE LEARNING TO EFFICACIOUSLY DETECT AND DIAGNOSE A SPECTRUM OF DISEASES

Somya Panchal

Vol. 2, Issue 1, Jul-Dec 2016

Abstract:

Simultaneously, most people in this digital world struggle with numerous health issues. It is vital to be aware if we are experiencing sickness at an early, organized illness instead of finding it later. Therefore, timely examination of health-related issues is essential for disease prevention and treatment. A method for predicting heart, diabetes, and Parkinson's disease has been developed in this study, how patients can use a single platform to predict multiple diseases. Support vector machine (SVM) is the ML algorithm used in this system for disease prediction.

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