Background: The American Heart Association, in conjunction with the National Institutes of
Health, annually reports the most up-to-date statistics related to heart disease, stroke, and …

The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

The paper focuses on the construction of an artificial intelligence-based heart disease
detection system using machine learning algorithms. We show how machine learning can …

Accompanying the aging of populations worldwide, and increased survival with chronic
diseases, the incidence and prevalence of atrial fibrillation (AF) are rising, justifying the term …

Background Cardiovascular diseases kill approximately 17 million people globally every
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …

Summary Each year, the American Heart Association (AHA), in conjunction with the National
Institutes of Health and other government agencies, brings together in a single document the …

The identification and prognosis of the potential for develo** Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Background Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of
preventative cardiology. Risk prediction models currently recommended by clinical …

Coronary artery calcium (CAC) is a highly specific feature of coronary atherosclerosis. On
the basis of single-center and multicenter clinical and population-based studies with short …

Our primary objective is to provide the clinical informatics community with an introductory
tutorial on calibration measurements and calibration models for predictive models using …