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

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 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.

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

Evaluation of electrophysiological signals

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

Code for paper "Deciphering simultaneous heart conditions with spectrogram and explainable-AI approach".

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

Internship I have done during my Masters degree