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Literature-based discovery has resulted in new knowledge. In the biomedical context, Don R. Swanson has generated several literature-based hypotheses that have been corroborated experimentally and clinically. In this paper, we propose a two-step model of the discovery process in which hypotheses are generated and subsequently tested. We have implemented this model in a Natural Language Processing system that uses biomedical Unified Medical Language System (UMLS) concepts as its unit of analysis. We use the semantic information that is provided with these concepts as a powerful filter to successfully simulate Swanson's discoveries of connecting Raynaud's disease with fish oil and migraine with a magnesium deficiency.

HIV-associated bacillary peliosis hepatis is an unusual, treatable opportunistic infection, probably caused by the same organism that causes cutaneous bacillary angiomatosis. Our failure to find bacilli in non-HIV-associated cases implies that other pathogenetic mechanisms may also be responsible for peliosis hepatis.

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