Search Results - "Rindflesch, Thomas C"

Assigning factuality values to semantic relations extracted from biomedical research literature by Kilicoglu, Halil, Rosemblat, Graciela, Rindflesch, Thomas C

“…Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text…”
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Constructing a semantic predication gold standard from the biomedical literature by Kilicoglu, Halil, Rosemblat, Graciela, Fiszman, Marcelo, Rindflesch, Thomas C

“…Semantic relations increasingly underpin biomedical text mining and knowledge discovery applications. The success of such practical applications crucially…”
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Large-scale structure of a network of co-occurring MeSH terms: statistical analysis of macroscopic properties by Kastrin, Andrej, Rindflesch, Thomas C, Hristovski, Dimitar

“…Concept associations can be represented by a network that consists of a set of nodes representing concepts and a set of edges representing their relationships…”
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Augmenting microarray data with literature-based knowledge to enhance gene regulatory network inference by Chen, Guocai, Cairelli, Michael J, Kilicoglu, Halil, Shin, Dongwook, Rindflesch, Thomas C

“…Gene regulatory networks are a crucial aspect of systems biology in describing molecular mechanisms of the cell. Various computational models rely on random…”
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SemMedDB: a PubMed-scale repository of biomedical semantic predications by KILICOGLU, Halil, SHIN, Dongwook, FISZMAN, Marcelo, ROSEMBLAT, Graciela, RINDFLESCH, Thomas C

“…Effective access to the vast biomedical knowledge present in the scientific literature is challenging. Semantic relations are increasingly used in knowledge…”
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Investigating the role of interleukin-1 beta and glutamate in inflammatory bowel disease and epilepsy using discovery browsing by Rindflesch, Thomas C, Blake, Catherine L, Cairelli, Michael J, Fiszman, Marcelo, Zeiss, Caroline J, Kilicoglu, Halil

“…Structured electronic health records are a rich resource for identifying novel correlations, such as co-morbidities and adverse drug reactions. For drug…”
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Natural language processing: State of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine by Friedman, Carol, Rindflesch, Thomas C., Corn, Milton

“…[Display omitted] •We report on a natural language workshop sponsored by the National Library of Medicine.•We summarize the current state of the art in…”
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Biomedical question answering using semantic relations by Hristovski, Dimitar, Dinevski, Dejan, Kastrin, Andrej, Rindflesch, Thomas C

“…The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts…”
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Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury by Cairelli, Michael J, Fiszman, Marcelo, Zhang, Han, Rindflesch, Thomas C

“…Mild traumatic brain injury (mTBI) has high prevalence in the military, among athletes, and in the general population worldwide (largely due to falls)…”
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Context-driven automatic subgraph creation for literature-based discovery by Cameron, Delroy, Kavuluru, Ramakanth, Rindflesch, Thomas C., Sheth, Amit P., Thirunarayan, Krishnaprasad, Bodenreider, Olivier

“…[Display omitted] •Implicit and explicit semantics to capture context can be effective for LBD.•Multifaceted subgraphs can be captured using clustering based…”
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Smart and Connected Health [Guest editors' introduction] by Leroy, Gondy, Chen, Hsinchun, Rindflesch, Thomas C.

“…Computing plays an important role in all aspects of achieving and maintaining health and well-being. Exploiting health information technology for decreasing…”
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Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs by Zhang, Rui, Cairelli, Michael J., Fiszman, Marcelo, Kilicoglu, Halil, Rindflesch, Thomas C., Pakhomov, Serguei V., Melton, Genevieve B.

“…In this study, we report on the performance of an automated approach to discovery of potential prostate cancer drugs from the biomedical literature. We used…”
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Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of disease by Masseroli, Marco, Kilicoglu, Halil, Lang, François-Michel, Rindflesch, Thomas C

“…Genomic functional information is valuable for biomedical research. However, such information frequently needs to be extracted from the scientific literature…”
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Sortal anaphora resolution to enhance relation extraction from biomedical literature by Kilicoglu, Halil, Rosemblat, Graciela, Fiszman, Marcelo, Rindflesch, Thomas C

“…Entity coreference is common in biomedical literature and it can affect text understanding systems that rely on accurate identification of named entities, such…”
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Clustering cliques for graph-based summarization of the biomedical research literature by Zhang, Han, Fiszman, Marcelo, Shin, Dongwook, Wilkowski, Bartlomiej, Rindflesch, Thomas C

“…Graph-based notions are increasingly used in biomedical data mining and knowledge discovery tasks. In this paper, we present a clique-clustering method to…”
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Identifying plausible adverse drug reactions using knowledge extracted from the literature by Shang, Ning, Xu, Hua, Rindflesch, Thomas C., Cohen, Trevor

“…[Display omitted] •We evaluate PSI-based identification of relationships between drugs and ADRs.•PSI can incorporate relations and concepts and infer reasoning…”
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The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text by Rindflesch, Thomas C, Fiszman, Marcelo

“…Interpretation of semantic propositions in free-text documents such as MEDLINE citations would provide valuable support for biomedical applications, and…”
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Discovering discovery patterns with predication-based Semantic Indexing by Cohen, Trevor, Widdows, Dominic, Schvaneveldt, Roger W., Davies, Peter, Rindflesch, Thomas C.

“…[Display omitted] ► PSI represents concepts and relations in hyperdimensional space. ► PSI is used to infer discovery patterns from known therapeutic…”
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Framing serendipitous information-seeking behavior for facilitating literature-based discovery: A proposed model by Workman, T. Elizabeth, Fiszman, Marcelo, Rindflesch, Thomas C., Nahl, Diane

“…Several researchers have studied serendipitous knowledge discovery in information‐seeking behavior. Electronic data in the form of semantic predications have a…”
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Using semantic predications to uncover drug–drug interactions in clinical data by Zhang, Rui, Cairelli, Michael J., Fiszman, Marcelo, Rosemblat, Graciela, Kilicoglu, Halil, Rindflesch, Thomas C., Pakhomov, Serguei V., Melton, Genevieve B.

“…[Display omitted] •Discovery of drug–drug interactions in patient data using literature knowledge.•Structured knowledge extracted from MEDLINE and stored in…”
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