stroke-prediction

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…

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

AxionCura is a machine learning–based early stroke prediction system that analyzes patient health attributes to estimate stroke risk. It includes a trained pipeline model and a simple Python interface for running predictions locally.

Predict whether you'll get stroke or not !!

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

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

Comparative analysis of machine learning models for stroke risk prediction using Python and Scikit-learn.

Stroke-GFCN: segmentation of Ischemic brain lesions

Practical exercises, problem-solving solutions, and projects from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

🥈🎉 Silver Award Winner and Presented at IEEE Conference 📝 .This project implements a comprehensive pipeline for real-time ECG (Electrocardiogram) data processing and analysis, integrating IoT devices.

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

Stroke prediciton with EDA, data preprocessing, model building and sampling

Stroke Prediction Using Machine Learning (Classification use case)

Production-ready stroke risk assessment platform powered by Dense Stacking Ensemble (DSE) ML models. Achieves 95-97% accuracy with real-time predictions.

🚑 AI-powered Stroke Risk Prediction System built with Ensemble Learning (Random Forest, XGBoost, LightGBM, CatBoost, Gradient Boosting). Designed to assist early detection of stroke-prone individuals using interpretable ML insights — bridging data science and preventive healthcare.

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

An AI-powered web application that predicts the risk of stroke in patients based on their health and lifestyle data.

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.