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ISSN 2063-5346
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USE OF MACHINE LEARNING TECHNIQUES TO PREDICT NUMEROUS DISEASES

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G. Vennela,Lavanya .K
» doi: 10.31838/ecb/2023.12.si4.185

Abstract

Many of the machine learning models for health care analysis now in use focus on just one disease at a time. Like one analysis for diabetes, one for cancer, one for heart illness, one for breast cancer, and one for liver disease, etc. A single analysis cannot forecast more than one disease using a same system. In this study, a system that makes use of Naive Bayes Classifier , Random Forest and convolution neural network to predict numerous diseases is proposed. Algorithms for machine learning were employed to implement the study of multiple diseases. Consider seven diseases are Diabetes, Breast cancer, heart disease, kidney, Liver and also in-cluded Pneumonia and Malaria. The project objective is to analyses diseases from all angles, taking into report all the factors that contribute to their development, in order to identify the diseases full range of effects, warn patients, and encourage them to seek treatment to sening report results to message through telegram

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