stroke-prediction
There are 68 repositories under stroke-prediction topic.
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
Vaneshik/AI-Challenge-2023
First place solution for "medicine" topic in AI Challenge 2023
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 ๐โฌ๏ธ
Intiserahmed/SpectreOra-IoT-Mobile-ML
๐ฅ๐ Silver Award Winner and Presented at IEEE Conference ๐ .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.
CDCapobianco/Stroke-Predictor-AI
A small ML program which predicts stroke probability based on medical status of the patient
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.
Livia020799/Fundamentals-of-Data-Science
This repository hosts the final project for the Fundamentals of Data Science exam, as part of the Masterโs degree in Data Science at Sapienza University of Rome
mihailgonta/stroke-risk-prediction
Evaluate stroke risk using logistic regression and decision tree models
pokir/stroke-predictor
Neural network to predict strokes.
richardcornall/Ensemble-Machine-Learning-Stroke-risk-prediction
98% accurate - This stroke risk prediction Machine Learning model utilises ensemble machine learning (Random Forest, Gradient Boosting, XBoost) combined via voting classifier. We tune parameters with Stratified K-Fold Cross Validation, ROC-AUC, Precision-Recall Curves and feature importance analysis.
sa-diq/Stroke-Prediction
Prediction of stroke in patients using machine learning algorithms.
santi-souza/stroke-eda-ml
Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning
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
2022๋ 1ํ๊ธฐ ๊ฐ์ธ ํ๋ก์ ํธ : ๋์กธ์ฆ ํ์ ์์ธก ๋ชจ๋ธยท๋ถ์
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
chavanpuja/DAProject1
Stroke Prediction System Using ML
georgemelrose/Stroke-Prediction-Dataset-Practice
Utilising a publicly-available and small dataset of ~5K patients from Kaggle, to practice health data analysis.
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.
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.
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