Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …

Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

Problem: Myocardial infarction (MI) is a classic cardiovascular disease (CVD) that requires
prompt diagnosis. However, due to the complexity of its pathology, it is difficult for …

This paper presented an interpretable method for myocardial infarction (MI) localization and
severity period prediction using 12-leads electrocardiograms (ECG) based on deep learning …

Artificial intelligence (AI) has revolutionized numerous industries, including medicine. In
recent years, the integration of AI into medical practices has shown great promise in …

Background and objectives: 12 leads electrocardiogram (ECG) are widely used to diagnose
myocardial infarction (MI). Generally, the symptoms of MI can be reflected by waveforms in …

Invasive angiography is the reference standard for coronary artery disease (CAD) diagnosis
but is expensive and associated with certain risks. Machine learning (ML) using clinical and …

Background and objective: Early detection of myocardial ischemia is a necessary but difficult
problem in cardiovascular diseases. Approaches that exclusively rely on classical ST and T …

Understanding clinical features and risk factors associated with COVID-19 mortality is
needed to early identify critically ill patients, initiate treatments and prevent mortality. A …

We used machine learning methods to investigate if body composition indices predict
hypertension. Data from a cohort study was used, and 4663 records were included (2156 …