Severe hypoglycemia and coronary artery calcification during the diabetes control and complications trial/epidemiology of diabetes interventions and complications (DCCT/EDIC) study.

Aim: Recently, major attention has been paid to the role of hypoglycemia as a cardiovascular risk factor. While EURODIAB-investigators concluded that severe hypoglycemia is not a cardiovascular risk factor in type 1 diabetes, other investigators found the opposite. The primary purpose of this study was to investigate the role of severe hypoglycemia in atherosclerosis during the DCCT- and EDIC-years with special attention to overall glycemic levels.

Biomedical question answering: a survey.

Objectives: In this survey, we reviewed the current state of the art in biomedical QA (Question Answering), within a broader framework of semantic knowledge-based QA approaches, and projected directions for the future research development in this critical area of intersection between Artificial Intelligence, Information Retrieval, and Biomedical Informatics.

Materials And Methods: We devised a conceptual framework within which to categorize current QA approaches. In particular, we used "semantic knowledge-based QA" as a category under which to subsume QA techniques and approaches, both corpus-based and knowledge base (KB)-based, that utilize semantic knowledge-informed techniques in the QA process, and we further classified those approaches into three subcategories: (1) semantics-based, (2) inference-based, and (3) logic-based.

Biomedical text summarisation using concept chains.

BioChainSumm is a biomedical text summariser utilising concept chaining (called BioChain) to link semantically-related concepts within biomedical text together. The BioChain process is adapted from existing lexical chaining approaches which chain semantically-related terms rather than concepts. The BioChain concept chains are used to identify salient candidate sentences which are extracted to produce a summary of the biomedical text.