Skip to content

The Stroke Prediction System is a web app designed to predict stroke risk with over 95% accuracy using a robust predictive model. Users can assess risk, connect with healthcare providers, locate nearby hospitals, and access support. This project combines accuracy and usability, linking users to essential healthcare resources.

Notifications You must be signed in to change notification settings

malekar1106/Stroke_Prediction_System

Repository files navigation

Stroke Prediction System

A stroke is a medical condition in which a blood vessel in the brain becomes blocked or bursts, leading to a lack of oxygen and nutrients in the brain cells. This can cause serious damage to the brain, leading to disability or death. Early detection and treatment of stroke can significantly improve patient outcomes, making it important to develop systems that can accurately predict the likelihood of a stroke occurring. The goal of the stroke prediction system is to develop a model that can accurately predict the likelihood of an individual having a stroke in the future based on a variety of factors, including medical history, lifestyle habits, and other risk factors.

Technologies

  • Jupyter Notebook
  • Flask
  • HTML/CSS

We have used Decision Tree Classifier which gives us accuracy of 91.68%

Screenshot

image image image

About

The Stroke Prediction System is a web app designed to predict stroke risk with over 95% accuracy using a robust predictive model. Users can assess risk, connect with healthcare providers, locate nearby hospitals, and access support. This project combines accuracy and usability, linking users to essential healthcare resources.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published