stroke-prediction

danielchristopher513/Brain_Stroke_Prediction_Using_Machine_Learning

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, 10% with intracerebral hemorrhage, and the majority of 87% with ischemic stroke. 80% of the time these strokes can be prevented, so putting in place proper education on the signs of stroke is very important. The existing research is limited in predicting risk factors pertained to various types of strokes. Early detection of stroke is a crucial step for efficient treatment and ML can be of great value in this process. To be able to do that, Machine Learning (ML) is an ultimate technology which can help health professionals make clinical decisions and predictions. During the past few decades, several studies were conducted on the improvement of stroke diagnosis using ML in terms of accuracy and speed. The existing research is limited in predicting whether a stroke will occur or not. Machine Learning techniques including Random Forest, KNN , XGBoost , Catboost and Naive Bayes have been used for prediction.Our work also determines the importance of the characteristics available and determined by the dataset.Our contribution can help predict early signs and prevention of this deadly disease

Vignesh227/Stroke-prediction

Predict whether you'll get stroke or not !!

rifqinvnd/Stroke-Disease-Classification

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

hernanrazo/stroke-prediction-using-deep-learning

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

aiporre/gcn_segmentation

Stroke-GFCN: segmentation of Ischemic brain lesions

PURPLEWATER00/STROKE-PREDICTION-PROJECT

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

Intiserahmed/SpectreOra-IoT-Mobile-ML

🥈🎉 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.

zeynpaktasli/StrokePrediciton

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

alexvolchek615/stroke-predictions-ml-model

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

Chandrakant817/Stroke-Prediction

Stroke Prediction Using Machine Learning (Classification use case)

msn2106/Stroke-Prediction-Using-Machine-Learning

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.

alfianhid/Prediction-of-Stroke-Disease-in-a-Patient-Using-PySpark

CDCapobianco/Stroke-Predictor-AI

A small ML program which predicts stroke probability based on medical status of the patient

Computational-Imaging-LAB/MIPA-Stroke

DohaoSTR/stroke_analysis

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.

fenix4dev/StrokePrediction_ML

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

Ibraam-Nashaat/Stroke-Prediction

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

Kaito999/stroke-risk-prediction

Evaluate stroke risk using logistic regression and decision tree models

pokir/stroke-predictor

Neural network to predict strokes.

shadan100/Stroke-Prediction-Analysis

A web based application to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relevant information about the patient.

shinho123/Data-mining-project---stroke-prediction

2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석

ssjky6/Stroke-Predictor

Stroke Prediction App

wildanmjjhd29/Stroke-Predict-Classification

Mechine Learnig | Stroke Prediction

zakaria-aabbou/R_Shiny_App

R shiny app for stroke prediction

FataiAzeez/stroke_prediction_rf_svm_lr

This repo evaluates Logistic Regression, Random Forest, and Support Vector Machine models for predicting stroke risk. Implemented in Python, the project includes data pre-processing, model training, and performance metric calculations

Mo-Shakib/Stroke-Prediction

Using Machine Learning Techniques to Predict the Occurrence of Stroke

Rakshitha-ks/Stroke-Prediction-Dashboard

The project aims at displaying the charts/plots of the number of people affected by stroke based on the input parameters like smoking status, high blood pressure level, Cholesterol level, obesity level in some of the countries.

sa-diq/Stroke-Prediction

Prediction of stroke in patients using machine learning algorithms.

spiddacino/RegressionAnalysis

Regression Analysis using dataset from different Industries

thuyvy119/End-to-end-Machine_Learning_projects

An end-to-end machine learning project for stroke prediction

0Suphan0/stroke_prediction

Comparison of Machine Learning and Deep Learning Techniques for Stroke Prediction

brenden-DS/stroke-prediction-web-app

chavanpuja/DAProject1

Stroke Prediction System Using ML

HarnadarTut/stroke-prediction

A patient's chance of stroke was predicted using analysis of a medical dataset. Project conducted in collaboration with a partner, Phillis Duong.

OmarAlkousa/Stroke-Prediction-Using-Electronic-Health-Records

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.