Background: Information and communication technology (ICT) has transformed the health
care field worldwide. One of the main drivers of this change is the electronic health record …

Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

A constructive theory of randomness for functions, based on computational complexity, is
developed, and a pseudorandom function generator is presented. This generator is a …

A telehealth system covers both clinical and nonclinical uses, which not only provides store-
and-forward data services to be offline studied by relevant specialists, but also monitors the …

Mapping Relational Databases (RDB) to RDF is an active field of research. The majority of
data on the current Web is stored in RDBs. Therefore, bridging the conceptual gap between …

Coping with chronic illness disease is a long and lonely journey, because the burden of
managing the illness on a daily basis is placed upon the patients themselves. In this paper …

Abstract Interpretation of Big Data in the drug discovery community should enhance project
timelines and reduce clinical attrition through improved early decision making. The issues …

The need for formal representations of eligibility criteria for clinical trials–and for
phenotyping more generally–has been recognized for some time. Indeed, the availability of …

The human suffering from diseases caused by life-threatening viruses such as SARS, Ebola,
and COVID-19 motivated many of us to study and discover the best means to harness the …

Objectives To automatically identify and cluster clinical trials with similar eligibility features.
Methods Using the public repository ClinicalTrials. gov as the data source, we extracted …