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Distilling conceptual connections from MeSH co-occurrences.

Our aim is to contribute to biomedical text extraction and mining research. In this paper we present exploratory research on the MeSH terms assigned to MEDLINE citations. We analyze MeSH based co-occurrences and identify the interesting ones, i.e., those that are likely to be semantically meaningful. For each selected co-occurring pair we derive a weighted vector representation that emphasizes the verb based functional aspects of the underlying semantics. Preliminary experiments exploring the potential value of these vectors gave us very good results. The larger goal of this project is to contribute to knowledge discovery research by mining the knowledge that is latent within the biomedical literature. It is also to provide a method capable of suggesting cross-disciplinary connections via the pairs derived from all of MEDLINE.

Information Storage and Retrieval↗

Evidence-based therapy in neonatology: distilling the evidence and applying it in practice.

Three aspects of the role of clinical evidence in guiding therapy in the field of neonatology are presented: 1) what is embodied in the concept "evidence-based medicine"? 2) the contribution of the Cochrane Collaboration and its Neonatal Review Group in summarizing and disseminating evidence, in the form of systematic reviews of randomized controlled trials, concerning the benefits and risks of therapies in the field of neonatology; 3) approaches to bridging the gap between the evidence per se and the uptake and application of that evidence in practice.

Diffusion of Innovation↗