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

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)

🥈🎉 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.

Some machine learning algorithms to predict whether a person would have a stroke or not.

Neural network to predict strokes.

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.

R shiny app for stroke prediction

Mechine Learnig | Stroke Prediction

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

Evaluate stroke risk using logistic regression and decision tree models