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

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…

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.

Stroke-GFCN: segmentation of Ischemic brain lesions

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

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

🥈🎉 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.

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

Stroke Prediction Using Machine Learning (Classification use case)

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.

Stroke analysis, dataset - https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset. For analysis i used: mlp classifier, k-means clustering, k-neighbors classifier. Libraries: tensorflow, scikit-learn.

Neural network to predict strokes.

This repository hosts the final project for the Fundamentals of Data Science exam, as part of the Master’s degree in Data Science at Sapienza University of Rome

Mechine Learnig | Stroke Prediction

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

R shiny app for stroke prediction