Latest AI and machine learning research in information technology for healthcare professionals.
New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the e...
BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a...
BACKGROUND: The goal of ontology matching is to identify correspondences between entities from diffe...
BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patie...
BACKGROUND: Muscle activation level is currently being captured using impractical and expensive devi...
Technology is integral to the diverse diagnostics and interventions of Otolaryngology. Historically,...
With the proliferation of heterogeneous health care data in the last three decades, biomedical ontol...
For the past decade, the focus of complex disease research has been the genotype. From technological...
BACKGROUND: Thus far, no algorithms have been developed to automatically extract patients who meet A...
NLP algorithm successfully determined asthma prognosis (i.e., no remission, long-term remission, and...
OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in...
Urban living in modern large cities has significant adverse effects on health, increasing the risk o...
BACKGROUND: Predicting death in a cohort of clinically diverse, multicondition hospitalized patients...
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great...
Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With ...
Electronic Health Records (EHR) are mainly designed to record relevant patient information during th...
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies ...
BACKGROUND: Ontologies are commonly used to annotate and help process life sciences data. Although t...
Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of ...
When electronic health record (EHR) data are used, multiple approaches may be available for measurin...
The term "digital health" is currently the most comprehensive term that includes all information and...