GitHub

An end-to-end Machine Learning project that predicts the likelihood of heart disease using classification algorithms, data preprocessing, feature engineering, model evaluation ...

An end-to-end Machine Learning project that predicts the likelihood of heart disease using patient health parameters. The project covers the complete machine learning workflow including data ...
Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

AI may spot deadly heart risk in a routine ECG

UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
IEEE

A Granular Description of ECG Signals

Abstract: In this paper, we develop a general framework of a granular representation of ECG signals. The crux of the approach lies in the development and ongoing processing realized in the setting of ...
GitHub

shsarv/Machine-Learning-Projects

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Transforming Sports and Health: AI-Driven Performance Optimization, Biomechanics, and Psychological Well-being

Classification of “Athlete's Heart” using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study Chia-Hao Fan Chin-Fen Chen Wei-Chun Huang Younghoon Kwon ...