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 …

Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Objective This integrative review identifies and analyzes the extant literature to examine the
integration of social determinants of health (SDoH) domains into electronic health records …

Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …

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

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 primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …

The outcomes of hypertension refer to the death or serious complications (such as
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …