The potential for big data analytics to improve cardiovascular quality of care and patient
outcomes is tremendous. However, the application of big data in health care is at a nascent …

Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Background Patients with acute heart failure are frequently or systematically hospitalized,
often because the risk of adverse events is uncertain and the options for rapid follow-up are …

Background: The prognostic importance of high-density lipoprotein cholesterol (HDL-C) as a
specific risk factor for cardiovascular (CV) disease has been challenged by recent clinical …

Big data technologies are increasingly used for biomedical and health-care informatics
research. Large amounts of biological and clinical data have been generated and collected …

Background: Few longitudinal studies have delineated the association between traditional
cardiovascular risk factors and development of aortic stenosis (AS). Objectives: The authors …

PURPOSE Ibrutinib reduces mortality in chronic lymphocytic leukemia (CLL). It increases the
risk of atrial fibrillation (AF) and bleeding and there are concerns about heart failure (HF) …

Background Statins are hypothesized to reduce the risk of cardiotoxicity associated with
anthracyclines and trastuzumab. Our aim was to study the association of statin exposure …

Background Sodium glucose cotransporter-2 inhibitors (SGLT2is) are hypothesized to
reduce the risk of anthracycline-associated cardiotoxicity. Objectives This study sought to …

Propensity‐score matching is a popular analytic method to remove the effects of
confounding due to measured baseline covariates when using observational data to …