Topic: "heart-disease-prediction"
amberkakkar01/Health-Care-Chatbot
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 177 - Forks: 64

kanchitank/Medibuddy-Smart-Disease-Predictor
Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 89 - Forks: 26

MuntahaShams/Heart-Disease-Prediction-using-Neural-Networks
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 41 - Forks: 12

asthasharma98/Heart-Disease-Prediction-Deployment
A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.
Language: HTML - Size: 5.93 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 39 - Forks: 20

Projects-Developer/Heart-Diseases-Prediction-Project
Final Year Project Heart Disease Prediction Project with all Documents.
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Vatshayan/Heart-disease-prediction-system-Project
Heart disease prediction system Project using Machine Learning with Code and Report
Language: Python - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 5

VenkateshBH99/Heart-and-Kidney-disease-prediction-Django
Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django
Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 19

VenkateshBH99/Hybrid-Random-Forest-Linear-Model
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 22

maitreyeepaliwal/Disease-Prediction-using-Fuzzy-Logic Fork of raviyadav14697/Medical-diagnosis-using-fuzzy-logic
A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this case) to predict the disease severity.
Language: PHP - Size: 2.77 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 5

iamSobhan/multiple_disease_prediction
Multiple Disease Prediction System
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 10 - Forks: 3

sagnikghoshcr7/Heart-Disease-Prediction
Predict the risk factors for heart disease.
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soumyajit4419/Heart_Disease_Prediction
Data Analyisis of heart disease.
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Benjamin-Walker/heart-murmur-detection
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection (Physionet Challenge 2022)
Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3

Ravjot03/Heart-Disease-Prediction
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 4

Melanee-Melanee/Melanee-Deployments
Deployed medical apps on streamlit
Language: Python - Size: 2.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

manthan89-py/Heart-Disease-Prediction
This project is combination of data analysis and machine learning. In this project First I try to find features and make different three type of models. Do some analysis and finally getting accuracy of 86% on test data
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nano-bot01/Heart-Disease-Prediction-using-machine-and-deep-learning-techniques
Heart Disease Prediction using machine and deep learning techniques works on heart dataset
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 1

Sudhanshu-Ambastha/Multiple-Disease-Prediction-Bot
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning
A Heart Disease Prediction System built on machine learning
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jayachandru001/Heart-Failure-Prediction-
This project involves training of Machine Learning models to predict the Heart Failure for Heart Disease event. In this KNN gives a high Accuracy of 89%.
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

shsarv/Cardio-Monitor
Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).
Language: Jupyter Notebook - Size: 7.66 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

akthammomani/AI_powered_heart_disease_risk_assessment_app
Build a Web App called AI-Powered Heart Disease Risk Assessment App
Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

suhas-005/Heart-Disease-Prediction-using-ML
Machine Learning based Web Application to predict Heart Disease
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Ellie190/Heart-Disease-Project-AML
A Machine Learning Web Application to help health practitioners solve the problem of heart disease diagnosis using probabilistic machine learning methods.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

Sudhanshu-Ambastha/Poly-Disease-Predictor
It is a Streamlit web application that allows users to predict various diseases, including diabetes, heart disease, and multiple diseases based on provided symptoms and health parameters.
Language: Python - Size: 676 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

Phani-LP/Heart_disease_prediction_using_ML
A machine learning-based web application for predicting heart disease using algorithms like SVM, TabNet, and Random Forest, built with Python and Django.
Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

Sudhanshu-Ambastha/Combined-Disease-Prediction-Bot
this is combination of 3 different disease prediction system check readme for details
Language: Python - Size: 3.47 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

DataScienceVibes/HEART-DISEASE-PREDICTION-
BASE ON GIVEN FEATURE AND MESUREMENT PREDICT WHETHER PATIENT WILL HAVE HEART DISEASE OR NOT.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

PawarMukesh/Heart-Disease-Prediction
This dataset is contain different parameter information of heart disease patient, based on given feature we need to predict the patient has heart disease or not
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gouravkhator/Framingham-Heart-Study
Classification Model to predict ten year CHD (heart disease)
Language: Jupyter Notebook - Size: 827 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 4

caesarmario/heart-disease-prediction-with-logistic-regression-SAS-studio
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
Language: SAS - Size: 907 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

undiscovered-genius/Heart-Disease-Prediction-App
❤️ Cardio Guide is an application which uses Machine Learning Model to predict the chances of Heart Disease with an accuracy of 81.967%. With this it also provide you with tips to improve your health status which directly benefits your heart.
Language: Java - Size: 1.06 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

Ankit152/heart-disease-prediction
A Machine Learning model to predict Heart Disease Prediction.
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Sudhanshu-Ambastha/Heart-Disease-Prediction-Bot
this repository is part of multiple disease prediction system repository
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prachet283/ML-Project-20-Multiple-Disease-Prediction-System-WebApp
A comprehensive machine learning-based web app for predicting multiple diseases from medical data.
Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 3

joshi-jyoti/Heart-Disease-Prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
Language: Python - Size: 16.6 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

Pavansomisetty21/Heart-attack-prediction-using-machine-learning
we predict that the patient is suffering with heart attack or not
Language: Jupyter Notebook - Size: 67.4 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

arghanath007/Heart_Disease_Classification_Problem
Trying to predict by training a Machine learning model, if a patient has Heart Disease or not depending on the various features/categories the patient has.
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

KalyanM45/Heart-Disease-Prediction
Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.
Language: Jupyter Notebook - Size: 178 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

mattf4171/DataScience
These projects implement data exploration, data visualization, and machine learning methods.
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itssouray/Heart_Disease_prediction
Today, heart failure diseases affect more people worldwide than other autoimmune conditions. Cardiovascular Diseases (CVDs) affect the heart and obstruct blood flow through the blood vessels. Chronic ailments in CVD include heart disease (heart attack), cerebrovascular diseases (strokes), congestive heart failure, and many more pathologies.
Language: Python - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Machine-Learning-Projects1/2020-BRFSS-Codebook-CDC-APP
The Machine Learning APP for "2020-BRFSS-Codebook-CDC".
Language: Python - Size: 2.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

BhakeSart/HealthOrzo
HealthOrzo is a Disease Prediction and Information Website. It is user friendly and very dynamic in it's prediction. The Project Predicts 4 diseases that are Diabetes , Kidney Disease , Heart Ailment and Liver Disease . All these 4 Machine Learning Models are integrated in a website using Flask at the backend .
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ankitkapooor/HeartDiseasePrediction
The research paper explores the idea of predicting heart disease based on a person’s medical data using various machine learning algorithms. Through the course of the paper, we explore various characteristics necessary to the process of predicting heart disease. The paper compares multiple machine learning algorithms and ranks them on the basis of their accuracy, the f1 score, and the area under the ROC curve.
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HxnDev/Predicting-heart-disease-using-Machine-Learning
This was a project from Coursera. In this we had to predict heart diseases using the given dataset
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Sameer411/Bertelsmann-Scholarship-Study-Jam-1.0-ML-Project-Heart-Disease-Prediction
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yashprakash13/Heart-Disease-Prediction-Random-Forest-Model
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akpanitorobong/7072CEM-Machine_Learning
Coursework Code for Machine Learning module in Coventry University. Using Random Forest, Logistic Regression, Support Vectors, and Nearest Neighbors on Heart Disease Data from UCI
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hk-kumawat/Multi-Disease-Predictor-Diabetes-Heart-Parkinsons
🏥 An ML-powered tool that detects the likelihood of diabetes, heart disease, and Parkinson's based on user input health parameters.
Language: Jupyter Notebook - Size: 117 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Rupsvarshney/heart-disease-prediction
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.
Language: Jupyter Notebook - Size: 987 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Heart-Disease-Prediction
❤️ Likelihood of heart disease it analyzes user inputs such as age, gender, cholesterol levels, and other clinical features to provide accurate predictions.
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12pavani/Heart-Disesse-Prediction
Heart Disease Prediction Using Machine Learning is a logistic regression model that predicts heart disease based on medical data. It analyzes features like age and cholesterol, achieving 85.24% training accuracy and 80.49% testing accuracy, facilitating early detection for timely intervention.
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albinzayedrawan/AI-Comparing-Heart-Disease-Prediction
A Comparative Study of Three Intelligent Techniques for the Disease Prediction Domain.
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ksatrajit0/Heart-Disease-Prediction-ML
Predicts the risk of heart attack in a patient using their medical record
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Gracysapra/Heart-Disease-Prediction-using-Logistic-Regression
This project uses Logistic Regression to predict the likelihood of heart disease based on medical attributes such as age, cholesterol levels, and blood pressure. It includes model training, evaluation, and an interactive Gradio interface for real-time heart disease risk prediction.
Language: Jupyter Notebook - Size: 275 KB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

phamthangph13/Heart-Disease-Prediction-App
Heart Disease Prediction App The Heart Disease Prediction App provides a multifaceted approach to health management. It offers predictive analytics to assess heart disease risk based on user health data, extracts text from images using OCR for easy document digitization, and features an interactive chat bot for real-time support and guidance. The a
Language: Python - Size: 118 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

AyahIbrahim/heart-disease-risk-analysis
The primary objectives include identifying patterns and associations among lifestyle factors and health metrics to understand their role in heart disease risk to educate the general public on how to manage their heart health proactively.
Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

PritamDeb68/Heart-Disease-Prediction
In this project I have created an Heart Diseases predictive model that can accurately predicts whether a person has heart disease or not based on some medical data.
Language: Python - Size: 382 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

UnnikrishnaD/D.UNNIKRISHNAN_au810021102036
You are tasked to perform Heart Disease Prediction Using Logistic Regression. The World Health Organization has estimated that four out of five cardiovascular disease (CVD) deaths are due to heart attacks. This whole research intends to pinpoint the ratio of patients who have a good chance of being affected by CVD and predict the overall risk using
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

SAVYASACHI02/DiseaseWebApp
Multiple Disease Prediction Webapp using MachineLearning Deployed using steamlit
Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mayur1377/heart-disease-detector
A web based machine learning model to predict for heart disease for a patient
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Francesco-Sovrano/YAI4Hu
Language: HTML - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Akshat103/Diseases_Prediction_App
Web application made using three prediction models.
Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Swapnil0506/Heart_Disease_Prediction
A 10-year Coronary Heart disease predictor developed for people among various age groups from an appropriate dataset based on several parameters using HTML, CSS and Django and used Logistic Regression Model for prediction.
Language: HTML - Size: 860 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

tayalmanan28/Heart-Disease-Predictor
A Webapp to predict heart disease. Project Associated with PANACEA Project https://github.com/tayalmanan28/PANACEA
Language: CSS - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

emrecicekyurt/heart-disease-classification
This project is a ML project that predicts whether heart disease exists or not by considering the indicators. The dataset is available at Kaggle https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease with over 300k cases in it.
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mrinalmayank7/machine_learning_models
This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to serialize ML algorithms for predictions or availing it for the server use.
Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

ChriStingo/HeartDisease-Analysis-and-Prediction
Data analysis, visualization and prediction for the prevention of heart disease using ML models
Language: Jupyter Notebook - Size: 809 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

prabhkaur301/Heart-Disease-prediction
Flask app integrated with machine learning model for prediction of heart disease
Language: Jupyter Notebook - Size: 193 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

gurvinder08/Heart-Disease-Prediction
Human Physiology Project
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deadshot-21/Heart-Disease-Prediction-System
Language: Python - Size: 2.3 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

abeldiress/heart-disease-prediction
A deep neural network built from the UC Irvine Dataset used to predict heart disease.
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

RafaelGranza/KNN-Core-for-Heart-Disease-Diagnosis
KNN Core for Heart Disease Diagnosis in C++
Language: C++ - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Chandureddy8/Heart_Disease_prediction
Heart disease prediction
Language: Jupyter Notebook - Size: 223 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

MaharshSuryawala/Heart-Disease-Risk-Prediction
A system that predicts the risk of heart diseases in patients using information such as chest pain, cholesterol, thalassemia, exercise-induced angina, ECG, etc.
Language: HTML - Size: 18.8 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 2

surdebmalya/Heart-Disease-UCI
The project is based upon the kaggle dataset of Heart Disease UCI. The final model is generated by Random Forest Classifier algorithm, which gave an accuracy of 88.52% over the test dataset that is generated randomly choosing of 20% from the main dataset.
Language: Jupyter Notebook - Size: 780 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

Rupak240/Heart-Disease-Prediction-Master
Language: CSS - Size: 23.1 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

gioele-maruccia/heart-disease-diagnosis
Heart-Disease dataset analysis using Matlab and the Orange framework.
Language: MATLAB - Size: 2.95 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

SyedaMaida78/HealthCare-Chatbot
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

omerdduran/riskfactor-heart
This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.
Language: Python - Size: 1000 Bytes - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

siddheshwarkoli/Heart-Disease-Prediction-Classification
BASE ON GIVEN FEATURE AND MESUREMENT PREDICT WHETHER PATIENT WILL HAVE HEART DISEASE OR NOT
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sabin74/heart_disease_prediction
A machine learning project to predict the presence of heart disease using the Kaggle Heart Disease Dataset. The project uses data preprocessing, exploratory data analysis (EDA), feature engineering, and a Random Forest Classifier to achieve high prediction accuracy.
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ComputerVision804/Heart-Disease-Prediction
AI-Powered Heart Disease Prediction System This project is a full-stack AI-based web application that predicts the presence of heart disease using both structured medical data and MRI image analysis. It integrates traditional machine learning and deep learning (CNN) for comprehensive diagnostics.
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NomanSiddiqui0000/Heart-Disease-Data-Analysis
An interactive Power BI dashboard analyzing a heart disease dataset to uncover key patterns and risk factors. Using Power Query for data transformation and Power BI for visualization, this project explores how features like sex, age, chest pain type, and ST segment slope correlate with heart disease outcomes.
Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

palak0321/ML-Capstone-Prediction-Projects
Hello! I'm Palak Yaduvanshi, a data science enthusiast with a passion for applying machine learning to solve real-world problems. I’m constantly learning and experimenting with new algorithms and tools to build impactful prediction models.
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nadhif-royal/HeartDiseasePredictionML
This project aims to predict heart disease using machine learning models trained on clinical data. We explore different classification models to find the most effective approach. Models Used: Logistic Regression, K-Nearest Neighbors (KNN) (Best Performance: 97%), Random Forest
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gauravsinghoffl/multiple-disease-prediction-system
A machine learning model for detection of diseases like diabetes, heart disease, and Parkinson's disease. The application employs various machine learning models trained on relevant datasets containing labeled patient information. Users can conveniently input their health data through a secure interface.
Language: Jupyter Notebook - Size: 119 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Projects-Developer/Final-Year-Project-Topics-For-Computer-Engineering
Final Year Project Topics For Computer Engineering Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
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eshan-sud/heart-disease-prediction
Predictive analysis on Heart Disease Prediction using Ensemble Learning
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Anand-Velpuri/Heart-Disease-Predictor
Heart Disease Classifier Web App – A Flask-based AI model that predicts heart disease risk with 89% accuracy. Built with ML, Tailwind CSS, and interactive UI. 🚀
Language: HTML - Size: 9.77 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hamzakamelen/Heart-Disease-Prediction
A Complete Machine Learning Heart Disease Prediction App
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ramyadevanga9/Predicting-Heart-Attack-using-Machine-Learning
A machine learning-based heart attack prediction system using XGBoost, Flask, and a user-friendly web interface to assess cardiovascular risk
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aAa1928/heart-disease-ml-classifier
A PyTorch model with a 99.27% accuracy designed to predict the risk of heart disease based on a combination of symptoms, lifestyle factors, and medical history.
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maliknaik16/HappyHeart
HackGT 9 Hackathon Project
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rociobenitez/heart-disease-prediction
Flujo completo de trabajo para abordar un problema de clasificación binaria utilizando un dataset relacionado con enfermedades cardíacas.
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oyy-krishna/Multiple-Disease-Pridictor
This is a Supervised Machine Learning model for predicting multiple diseases like heart disease, diabetes, etc.
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Idoarizs/cardiocare
Provide health education and an early overview of heart disease risk by integrating AI technology into an easy-to-use web platform.
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gawadx1/heart-disease-prediction
heart disease prediction by Python
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ZeshanFareed/Heart_Disease_Prediction_ML_Django_Project
Machine learning projects through Django
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BhaveshBhakta/heart-disease-prediction
Note* The hosted website link might take some time to load. Please be patient while the application initializes.
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