Vaneshik/AI-Challenge-2023

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

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Vignesh227/Stroke-prediction

Predict whether you'll get stroke or not !!

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aiporre/gcn_segmentation

Stroke-GFCN: segmentation of Ischemic brain lesions

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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

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rifqinvnd/Stroke-Disease-Classification

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

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PURPLEWATER00/STROKE-PREDICTION-PROJECT

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

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Amirreza81/Applied-Data-Science-Course

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

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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.

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zeynpaktasli/StrokePrediciton

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

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hernanrazo/stroke-prediction-using-deep-learning

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

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Rahuletto/healthalyze

Healthalyze is an AI-powered tool designed to assess your stroke risk using deep learning. With just a few inputs—such as age, blood pressure, glucose levels, and lifestyle habits our advanced CNN model provides an accurate probability of stroke occurrence.

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santi-souza/stroke-eda-ml

Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning

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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.

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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.

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wildanmjjhd29/Stroke-Predict-Classification

Mechine Learnig | Stroke Prediction

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ssjky6/Stroke-Predictor

Stroke Prediction App

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mihailgonta/stroke-risk-prediction

Evaluate stroke risk using logistic regression and decision tree models

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Computational-Imaging-LAB/MIPA-Stroke

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Chandrakant817/Stroke-Prediction

Stroke Prediction Using Machine Learning (Classification use case)

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zakaria-aabbou/R_Shiny_App

R shiny app for stroke prediction

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Ibraam-Nashaat/Stroke-Prediction

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

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CDCapobianco/Stroke-Predictor-AI

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

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

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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.

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Hemanth-072/Stroke-Risk-Prediction-Using-Machine-Learning

Machine-learning pipeline for predicting stroke risk from patient health and lifestyle data.

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Riciokzz/Stroke-Prediction

Stroke Prediction project.

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georgemelrose/Stroke-Prediction-Dataset-Practice

Utilising a publicly-available and small dataset of ~5K patients from Kaggle, to practice health data analysis.

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Monirules/Stroke-Predictor-app

Stroke Predictor App is a machine learning-based web application that predicts the likelihood of a stroke based on health factors. It uses a trained model to assess the risk and provides users with an easy-to-use interface for predictions.

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bhaveshpatil093/Brain-Stroke-Prediction-with-AI

Predicting Brain Strokes before they strike: AI-driven risk assessment for proactive Healthcare.

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Mahatir-Ahmed-Tusher/Stroke-Risk-Prediction-Dataset-based-on-Literature

This dataset is designed for predicting stroke risk using symptoms, demographics, and medical literature-inspired risk modeling.

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thuyvy119/End-to-end-Machine_Learning_projects

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

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Garvitjoshi1/Brain_Stroke_Prediction

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brenden-DS/stroke-prediction-web-app

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jakeryu37/Stroke-Prediction-ML-Model

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0Suphan0/stroke_prediction

Comparison of Machine Learning and Deep Learning Techniques for Stroke Prediction

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spiddacino/RegressionAnalysis

Regression Analysis using dataset from different Industries

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alvansaid/lsvm-logreg-stroke

Repository code of classifying stroke dataset with classification machine learning algorithm including linear support vector machines and logistic regression.

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chavanpuja/DAProject1

Stroke Prediction System Using ML

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NehaSonavane/SQL-Project-stroke-prediction1

Project work on #Healthcare_stroke_prediction using #MySQL

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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.

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Mo-Shakib/Stroke-Prediction

Using Machine Learning Techniques to Predict the Occurrence of Stroke

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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.

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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

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Tayyba27/Machine-Learnng-Project

Stroke Disease prediction

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AlexanderHolmes0/Stroke_Dash

What makes a stroke event happen?

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RSBhoomika/Early-Detection-of-Brain-Stroke

Stroke is a condition that happens when the blood flow to the brain is impaired or diminished. It is also referred to as Brain Circulatory Disorder. It is now possible to predict when a stroke will start by using ML approaches thanks to advancements in medical technology.

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DanishJameel/Data-Augmentation

Data Augmentation using python for the Deep Learning

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arjunssat/Stroke_Prediction_analysis

This project hence helps to predict the stroke risk using prediction model and provide personalized warning and the lifestyle correction message. By doing so, it also urges medical users to strengthen the motivation of health management and induce changes in their health behaviors.

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doscsy12/shade_22

Datathon-2022

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Jawwad-Fida/Stroke-Prediction

Predict whether a patient is likely to get stroke using machine learning classification algorithms. Performance Comparison of algorithms.

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KaziTanvir/Stroke-Prediction-comparative-analysis-on-various-machine-learning-models

Stroke Prediction comparative analysis on various machine learning models

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panosarv/stroke-prediction

Data analysis on Dataset of patients who had a stroke (Sklearn, pandas, seaborn)

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dmcneill0711/What-s_Stroking_Your_Brain

A Machine Learning Analysis of Stroke Data and Accessible Website

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EmptySpace99/StrokePrediction

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Dev-Goel/Stroke-Prediction

The project aims at predicting whether a patient is likely to get a stroke based on the input parameters like gender, age, BMI, average glucose level, various diseases like hypertension, heart disease, and smoking status. (Course: CSL2050 Pattern Recognition and Machine Learning)

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charbel-a-hC/ups-ml-stroke-prediction

This repository contains the stroke prediction among patients project included in the UPS (Université Paris-Saclay) ML course curriculum.

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acg12/stroke_prediction_ml

Machine learning project: classify and predict whether someone will have a stroke or not.

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pokir/stroke-predictor

Neural network to predict strokes.

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gprzy/stroke-prediction

🩺 Machine Learning applied to stroke prediction for unbalanced data

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kevinkarnani/Stroke-EDA-Predictor Fork of sallahbaksh/Stroke-EDA-Predictor

Investigation of the factors that lead to strokes.

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mainak-debnath/Stroke-Prediction

A web application where the user can get get to know if they have the risk of getting stroke

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victoriaporter58/Facial_Weakness_Identification_for_Stroke_Prediction

This project looks to build upon existing work to encode the decision making expertise of neurologists in a computational model. The ambition for this research is to create a computational tool to support paramedics and other emergency medical providers in accurately detecting the presence of stroke thus enabling the early onset of treatment and improving the person's quality of life.

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rayyanshikoh/Stroke-Prediction

94% accuracy, can predict the liklihood of a stroke in a patient.

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