Intelligent semantic queries of MEDLINE and the biomedical literature

Clinical Cases and Images - Blog - The blog of ClinicalCases.org: medicine and social media novo|seek MEDIE - Semantic retrieval engine for MEDLINE MEDIE is an intelligent search engine to retrieve biomedical correlations from MEDLINE, based on indexing by Natural Language Processing and Text Mining techniques. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, "What activates p53" and "What causes colon cancer". Semantic search is to use a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form. Results of the query will be shown in a second. Examples: "What does p53 activate?" A GCL query is directly passed to a GCL server. The customization of the number of results is available as in Semantic Search. A list of GCL operators: Go to top This system is provided by the Tsujii Laboratory "AS IS" without warranty of any kind. This system is built on the Medline database leased from the National Library of Medicine [NLM]. NLM represents that its data were formulated with a reasonable standard of care.

Cognition :: Giving Technologies New Meaning ReleMed™ search engine PubGene Gene Database and Tools LitInspector - Literature and Pathway mining made easy! Arrrowsmith Investigators and sites involved: University of Illinois at Chicago, Department of Psychiatry: Neil R. Smalheiser, MD, PhD Vetle I. Torvik, PhD Giovanni Lugli Wei Zhang Wei Zhou Martin Hulth Ruth West Marc Weeber, PhD University of Chicago, Division of the Humanities: Don R. Swanson, PhD University of California, San Diego: Maryann Martone, PhD University of Memphis, Department of Biology: Ramin Homayouni, PhD Acknowledgements: This Human Brain Project/Neuroinformatics research is funded jointly by the National Library of Medicine and the National Institute of Mental Health. Copyright © 2002-7 by the University of Illinois at Chicago.