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This repository contains code for Support Vector Classification (SVC) and Logistic Regression methods for the prediction of various diseases, including as diabetes, Parkinson's disease, and heart disease. This study aims to show how machine learning techniques may be used to estimate the likelihood of certain diseases based on input features.

License: MIT License

Jupyter Notebook 96.07% Python 3.93%

multiple-disease-prediction's Introduction

Multiple-Disease-Prediction

This repository contains code for Support Vector Classification (SVC) and Logistic Regression methods for the prediction of various diseases, including as diabetes, Parkinson's disease, and heart disease. This study aims to show how machine learning techniques may be used to estimate the likelihood of certain diseases based on input features.


These are some screenshots of the Multiple Disease Prediction System webapp(images provided below)

This is the screenshot of a test result the Diabetes Prediction System

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These are some screenshots of test results of the Heart Disease Prediction System

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These are some screenshots of test results of the Parkinson's Disease Prediction System

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