Stroke is a disease that affects the arteries leading to and within the brain. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. According to the WHO, stroke is the 2nd leading cause of death worldwide. Globally, 3% of the population are affected by subarachnoid hemorrhage…

Implementation of the study: "The Use of Deep Learning to Predict Stroke Patient Mortality" by Cheon et al.

Detection (Prediction) of the possibility of a stroke in a person

Predict whether a patient is likely to get stroke using machine learning classification algorithms. Performance Comparison of algorithms.

Predict whether you'll get stroke or not !!

Stroke is a condition that happens when the blood flow to the brain is impaired or diminished. It is also referred to as Brain Circulatory Disorder. It is now possible to predict when a stroke will start by using ML approaches thanks to advancements in medical technology.

Comparing 10 different ML classifiers and using the one having best accuracy to predict the stroke risk to user. Fetching user details through web app hosted using Heroku.

First place solution for "medicine" topic in AI Challenge 2023

Neural network to predict strokes.

machine learning model to predict individuals chances of having a stroke. See users view of app here: https://ml-stroke-predictions.herokuapp.com/

The project aims at predicting whether a patient is likely to get a stroke based on the input parameters like gender, age, BMI, average glucose level, various diseases like hypertension, heart disease, and smoking status. (Course: CSL2050 Pattern Recognition and Machine Learning)

A Machine Learning Analysis of Stroke Data and Accessible Website

Stroke Prediction Using Machine Learning (Classification use case)

My first stroke prediction machine learning logistic regression model building in ipynb notebook using python.

A web application developed with Django for real-time stroke prediction using logistic regression.

A web application where the user can get get to know if they have the risk of getting stroke

Stroke-GFCN: segmentation of Ischemic brain lesions

DATA SCIENCE PROJECT ON STROKE PREDICTION- deployment link below 👇⬇️

Stroke is a condition that happens when the blood flow to the brain is impaired or diminished. It is also referred to as Brain Circulatory Disorder. It is now possible to predict when a stroke will start by using ML approaches thanks to advancements in medical technology.

This project aims to make predictions of stroke cases based on simple health data. Supervised machine learning algorithm was used after processing and analyzing the data. The model has predicted Stroke cases with 92.00% of sensitivity.