Search Results - "Fiszman, Marcelo"

Broad-coverage biomedical relation extraction with SemRep by Kilicoglu, Halil, Rosemblat, Graciela, Fiszman, Marcelo, Shin, Dongwook

“…In the era of information overload, natural language processing (NLP) techniques are increasingly needed to support advanced biomedical information management…”
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Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature by Xiao, Yongkang, Hou, Yu, Zhou, Huixue, Diallo, Gayo, Fiszman, Marcelo, Wolfson, Julian, Zhou, Li, Kilicoglu, Halil, Chen, You, Su, Chang, Xu, Hua, Mantyh, William G., Zhang, Rui

“…Non-pharmaceutical interventions (NPI) have great potential to improve cognitive function but limited investigation to discover NPI repurposing for Alzheimer's…”
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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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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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Text summarization as a decision support aid by Workman, T Elizabeth, Fiszman, Marcelo, Hurdle, John F

“…PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language…”
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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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Drug repurposing for COVID-19 via knowledge graph completion by Zhang, Rui, Hristovski, Dimitar, Schutte, Dalton, Kastrin, Andrej, Fiszman, Marcelo, Kilicoglu, Halil

“…[Display omitted] •Developed a novel drug repurposing approach integrating literature-based discovery and knowledge graph completion.•Constructed a biomedical…”
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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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Towards a characterization of apparent contradictions in the biomedical literature using context analysis by Rosemblat, Graciela, Fiszman, Marcelo, Shin, Dongwook, Kilicoglu, Halil

“…[Display omitted] •Semantic predications to identify candidate contradictions in biomedical literature.•Automatic and manual filtering steps identify apparent…”
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Text summarization in the biomedical domain: A systematic review of recent research by Mishra, Rashmi, Bian, Jiantao, Fiszman, Marcelo, Weir, Charlene R., Jonnalagadda, Siddhartha, Mostafa, Javed, Del Fiol, Guilherme

“…[Display omitted] •First systematic review of text summarization in the biomedical domain.•The study found a predominance of methods producing extractive…”
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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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Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature by Schutte, Dalton, Vasilakes, Jake, Bompelli, Anu, Zhou, Yuqi, Fiszman, Marcelo, Xu, Hua, Kilicoglu, Halil, Bishop, Jeffrey R., Adam, Terrence, Zhang, Rui

“…[Display omitted] •Developed a novel methodology to create SuppKG, a dietary supplement specialized knowledge graph.•Produced a text mining tool, SemRepDS,…”
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Classification of clinically useful sentences in clinical evidence resources by Morid, Mohammad Amin, Fiszman, Marcelo, Raja, Kalpana, Jonnalagadda, Siddhartha R., Del Fiol, Guilherme

“…[Display omitted] •We investigated automated extraction of clinically useful sentences from UpToDate.•A Kernel-based Bayes Network classifier was applied on…”
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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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Automatically extracting sentences from Medline citations to support clinicians' information needs by Jonnalagadda, Siddhartha Reddy, Del Fiol, Guilherme, Medlin, Richard, Weir, Charlene, Fiszman, Marcelo, Mostafa, Javed, Liu, Hongfang

“…Online health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers…”
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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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Automatically classifying question types for consumer health questions by Roberts, Kirk, Kilicoglu, Halil, Fiszman, Marcelo, Demner-Fushman, Dina

“…We present a method for automatically classifying consumer health questions. Our thirteen question types are designed to aid in the automatic retrieval of…”
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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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