heart-disease-prediction

基于Netty+TCP+Protobuf实现的Android IM库，包含Protobuf序列化、TCP拆包与粘包、长连接握手认证、心跳机制、断线重连机制、消息重发机制、读写超时机制、离线消息、线程池等功能。

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

Final Year Project Heart Disease Prediction Project with all Documents.

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models (AI Health Summit 23)

Large rPPG research with 1000+ subjects. (CHI'24 Workshop PhysioCHI'24))

My Heart Rate Data From Apple Watch For Time Series Analysis

Video based HeartRate Calculation for Openframeworks.

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%.

Heart disease risk prediction with LightGBM