Found 26 repositories(showing 26)
ArnaoutLabUCSF
Arnaout Lab
No description available
S-furi
Data Intensive Project on Cardiotocographic data
ZayyanCPU
A machine learning analysis predicting heart disease outcomes using clinical data from number of patients. The model shows potential for early screening and clinical decision support in healthcare
shelltitan
CardioML
jainilth
No description available
amna-zeljo
Machine learning backend for predicting cardiovascular disease using clinical patient data. Implements a full ML pipeline including preprocessing, model training, and evaluation with Linear Regression, Random Forest, and XGBoost, combined with Explainable AI (LIME) to interpret predictions.
kaushik4472
No description available
Keval144
CardioML is a full-stack Machine Learning project designed to analyze and predict cardiovascular disease risks using real-world healthcare data. The project integrates data analysis, predictive modeling, and a user-friendly web interface to provide actionable insights for healthcare applications.
garrysjh
Machine Learning and Data Science project on Cardio dataset from Kaggle: https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset
Donovan-Domaoan
No description available
CHAndu66662554
No description available
Amirhossein2001
No description available
phi-grib
No description available
Jeef-temo-3il
Prédiction de mortalité par insuffisance cardiaque à l’aide du Machine Learning.
Jeef24
Prédiction de mortalité par insuffisance cardiaque à l’aide du Machine Learning.
GJOsmak
No description available
fueguino84
Cardiac Risk Predictor API using ML | TP Final de Tópicos de Ing. de Software 2 - UNLP - Grupo: Sánchez - Screpnik
ghomsiarnold
Prédisez la mortalité par insuffisance cardiaque avec l'IA. Projet utilisant l'apprentissage automatique pour anticiper les risques cardiovasculaires. Contribuons à sauver des vies en combinant la science des données et la technologie. 💓🤖🔍
chidwipak
A complete cardiovascular disease prediction system with 8 ML classifiers built entirely from scratch using NumPy. Machine LearningAcademic Project - IIIT Sri City.
ulgit-theo
No description available
abrahamparoya
Senior Design II - Development Repository
abdelrahman200-web
No description available
Aravind633
A Hybrid AI Framework for Heart Disease Prediction combining LSTM-based ECG Analysis and Ensemble ML (RF + XGBoost) for clinical data. Features Explainable AI (SHAP) integration and a real-time Streamlit Dashboard for interpretable diagnostics.
No description available
No description available
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