Heart Disease Prediction Using Machine Learning

Cardiofieds is a Collection of fields based on Standard Definitions

Human sinoatrial node computational anatomy repository.

Analyze cardiograms with complex networks toolset to find predict disease

Project web page "Statistical Model Building Strategies for Cardiologic Applications - New results and future challenges"

This is a cardio tracker app for tracking heart rate, systolic pressure & diastolic pressure

object oriented / redux library to draw on canvas with the echocardiology bull-eye example

R code for the data managment and statistical analysis performed for Association with and outcomes after non-cardiology vs. cardiology care in heart failure: Observations from SwedeHF

Cardiology hub written in Java 13, Thymeleaf and Bootstrap

Département de cardiologie

A promotional site for Dr. Julie Freed's research laboratory. Built with Gatsby.

Code to generate figure from https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2782170.

Code for creating graphs and statistical investigations

Motion Analysis of Ring-Shaped tissues - code from Seguret et al. 2024 eLife

The ECG Detection with Deep Learning project employs Convolutional Neural Networks to automatically analyze Electrocardiogram (ECG) data, facilitating precise detection of cardiac abnormalities and enhancing diagnostic accuracy.

Análisis de datos de un historial médico con PCA y clustering. Código del trabajo publicado M R Toledo et al 2021 J. Phys.: Conf. Ser. 1723 012034

Evaluation of electrophysiological signals

A curated collection of board-style questions for internal medicine, featuring evidence-based explanations and current guidelines. Built with AI assistance, perfect for residents and practicing physicians.

Improve understanding of x-ray coronary angiography images in different quiz modules

a small python Library for calculating cardiovascular diseases risk using different clinically validated algorithms