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 …

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 …

Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …

Artificial intelligence (AI) plays a more and more important role in our everyday life due to the
advantages that it brings when used, such as 24/7 availability, a very low percentage of …

Objective This article reviews recent literature on the use of SNOMED CT as an extension of
Lee et al's 2014 review on the same topic. The Lee et al's article covered literature published …

Background As a high-prevalence health condition, hypertension is clinically costly, difficult
to manage, and often leads to severe and life-threatening diseases such as cardiovascular …

Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …

Objective To identify and synthesise research on applications of natural language
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …

Objectives: Owing to the rapid progress of natural language processing (NLP), the role of
NLP in the medical field has radically gained considerable attention from both NLP and …

Introduction Research has shown that frailty, a geriatric syndrome associated with an
increased risk of negative outcomes for older people, is highly prevalent among residents of …