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 ...
IEEE

Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection

Abstract: Cardiovascular disease (CVD) is a prevalent and serious condition causing a significant global mortality rate. According to the World Health Organization (WHO), in 2022, CVD claimed the ...
GitHub

ECGTwinMentor simulates a digital twin of an ECG diagnostic system. Users can input or generate ECG parameters, choose a diagnosis they believe is correct, and compare it with ...

Version 1.0.0 consolidates the architecture, machine learning model, and multiplatform deployment strategy for educational and predictive use of ECG data. ECGTwinMentor simulates a digital twin of an ...
IEEE

ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine Learning

Abstract: The 12-lead electrocardiogram (ECG) method can diagnose more cardiovascular disease than the single-lead method, but it is difficult to use in daily life because numerous electrodes must be ...
ahajournals.org

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

Novel targeted treatments increase the need for prompt hypertrophic cardiomyopathy (HCM) detection. However, its low prevalence (0.5%) and resemblance to common diseases present challenges that may ...