Skip to content

Latest commit

 

History

History
65 lines (46 loc) · 3.22 KB

README.md

File metadata and controls

65 lines (46 loc) · 3.22 KB

Disorders Divination

GitHub GitHub contributors GitHub top language Contributions welcome Read FAQ GitHub Repo stars

Disorders_Divination predicts the diseases through the different Test cases .! Why? Because To aware of diseases.

OverviewProblem StatementInstallationScreenshotsReport a bug

Overview

Human healthcare is one of society's most important issues. It is looking for the best one and a strong disease diagnosis so that they may obtain the care they require as soon as feasible. Following innovative techniques challenges these disciplines, pushing them beyond their customary boundaries. Because of the sheer quantity of new approaches, it is feasible to present a comprehensive overview while avoiding specific elements. To that purpose, we propose a thorough examination of human disorders linked to machine learning. This study focuses on existing machine learning growth methodologies used to the diagnosis of human disorders in the medical profession to identify fascinating patterns, create unimportant forecasts, and aid decision-making.

Problem Definition

Following innovative techniques challenges these disciplines, pushing them beyond their traditional boundaries. Because of the sheer amount of new approaches available, it is feasible to present a comprehensive overview while avoiding specific elements.Through this project,You can predict whether the parkinson,diabetes and Heart diseases is present or not

Installation

Use the package manager pip to install library.

pip install virtualenv
virtualenv env_name
env_name/scripts/activate

Start Project

Follow these commands to start your project.

pip install -r requirements.txt
streamlit run main.py

Screenshots

Diabetes Heart Disease Parkinson