Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

heartdisease 开源项目推荐(35 个)
heartdisease 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 35 个仓库A comprehensive exploration of machine learning techniques and data science best practices applied to the UCI Heart Disease dataset. Focusing on data preprocessing, exploratory analysis, and predictive modelling to identify key factors in heart disease. Part of Big Data Management and Analytics (BDMA) program.
A Machine Learning model to predict Heart Disease Prediction.
A service to connect patients and doctors.
Identification system for the molecular basis of coronary heart disease powered by AI ( Artificial Intelligence ) and machine learning algorithms.
Exploratory Data Analysis (EDA) of heart disease mortality in the United States (2019–2021), uncovering geographic, sex, and race/ethnicity disparities using NCHS data.
Classification models for heart disease prediction
A tool for predicting Heart Disease probability based on ML model
Classification Model (End to End Classification of Heart Disease - UCI Data Set)
Predicting Mortality among a Cohort of patients with Heart Failure
This project applies machine learning to predict heart disease using clinical data. It covers data preprocessing, model building, and performance evaluation, aiming to support early diagnosis and healthcare decision-making through data-driven insights and AI-based prediction techniques.
CardioSafe AI: A Streamlit web app leveraging machine learning to predict heart disease risk. Features interactive patient data inputs, real-time risk analysis with visual feedback, and emergency health guidelines. Includes developer profile links and dynamic UI elements. Ideal for healthcare AI demonstrations and preventive cardiology insights. ❤️
This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.
My effort has been to do this project with logistic regression
This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.
BEGINNER - This is a classification project for the subject "Data Mining" in the 3rd year of Statistics (SSE) at the University of Milano-Bicocca.
Repository for KNN and KMeans algorithms.
A machine learning application, deployed using Flask, is designed to identify the presence of heart disease in patients by analyzing various medical features.
AI-powered disease prediction system for breast cancer, heart disease, and diabetes using Java and machine learning.
Applied Machine Learning Final Project
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/heartdisease。
- 该话题在 GitHub 上共有 35 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 206 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。