Natural language processing (NLP) and telemedicine are growing fields that have created
new opportunities to improve medical decision-making. This research develops a complex …

General practice plays a prominent role in primary health care (PHC). However, evidence
has shown that the quality of PHC is still unsatisfactory, and the accuracy of clinical …

As technologies advent, attention should be given to raise awareness for implementing
Artificial Intelligence in health care. Evidence supporting this view has largely acquired …

Artificial Intelligence (AI) has become an invaluable tool in healthcare for disease prediction
and diagnosis. Despite their predictive accuracy, AI models may ignore the causal …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

[Objective] This paper systematically reviews the supporting applications for medical
decisions based on knowledge graphs, aiming to expand similar interdisciplinary …

Healthcare knowledge graphs (HKGs) have emerged as a promising tool for organizing
medical knowledge in a structured and interpretable way, which provides a comprehensive …

Automatic disease diagnosis from symptoms has attracted much attention in medical
practices. It can assist doctors and medical practitioners in narrowing down disease …

Background: Current health applications (eg, Google Fit) based on devices (eg, Fitbit) often
are limited to data visualization, summarization, or statistics-based models to understand …

An enormous amount of heterogeneous Textual Medical Knowledge (TMK), which is crucial
to healthcare information systems, has been produced by the explosion of healthcare …