5 Result(s)
within
Carol Friedman
Algorithms
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Article
Open AccessMining multi-item drug adverse effect associations in spontaneous reporting systems
Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in pharmacovigilance is bivariate association analysis, where...
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Article
Open AccessCharacterizing environmental and phenotypic associations using information theory and electronic health records
The availability of up-to-date, executable, evidence-based medical knowledge is essential for many clinical applications, such as pharmacovigilance, but executable knowledge is costly to obtain and update. Aut...
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Article
Open AccessPhenoGO: an integrated resource for the multiscale mining of clinical and biological data
The evolving complexity of genome-scale experiments has increasingly centralized the role of a highly computable, accurate, and comprehensive resource spanning multiple biological scales and viewpoints. To pro...
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Article
Open AccessUsing contextual and lexical features to restructure and validate the classification of biomedical concepts
Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language processing as well as associated mining and r...
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Article
Open AccessMachine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information retrieval systems because ambiguous words neg...
