Standards-based, computable knowledge representations for eligibility criteria are
increasingly needed to provide computer-based decision support for automated research …

Objective Ontologies are widely used in the biomedical domain. While many tools exist for
the edition, alignment or evaluation of ontologies, few solutions have been proposed for …

In this chapter, we give an overview of what ontologies are and how they can be used. We
discuss the impact of the expressiveness, the number of domain elements, the community …

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

PURPOSE Less than 5% of patients with cancer enroll in clinical trials, and 1 in 5 trials are
stopped for poor accrual. We evaluated an automated clinical trial matching system that …

Conjunctive queries (CQ) are fundamental for accessing description logic (DL) knowledge
bases. We study CQ answering in (extensions of) the DL EL, which is popular for large-scale …

Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are
supported by 'contextual explanations' that let the practitioner connect system inferences to …

Background Computerized clinical trial recruitment support is one promising field for the
application of routine care data for clinical research. The primary task here is to compare the …

Background: Social networking sites, particularly Facebook, are increasingly included in
contemporary smoking cessation interventions directed toward young adults. Little is known …

Background Medical progress depends on the evaluation of new diagnostic and therapeutic
interventions within clinical trials. Clinical trial recruitment support systems (CTRSS) aim to …