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Identifying Risk Factors for Metabolic Syndrome in Biomedical Text

Identifying risk factors and biomarkers for diseases is an important aspect of biomedical research. However, much of the underlying information resides in the research literature and is not available in executable form. We propose a methodology based on automatic semantic interpretation (using SemRe...

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Bibliographische Detailangaben
Hauptverfasser: Fiszman, Marcelo, Rosemblat, Graciela, Ahlers, Caroline B., Rindflesch, Thomas C.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Medical Informatics Association 2007
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2655815/
https://ncbi.nlm.nih.gov/pubmed/18693836
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