Dina Demner-Fushman, Willie J Rogers, Alan R Aronson. J Am Med Inform Assoc 2017
Times Cited: 57
Times Cited: 57
Times Cited
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The Unified Medical Language System (UMLS): integrating biomedical terminology.
Olivier Bodenreider. Nucleic Acids Res 2004
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.
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An overview of MetaMap: historical perspective and recent advances.
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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.
Özlem Uzuner, Brett R South, Shuying Shen, Scott L DuVall. J Am Med Inform Assoc 2011
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A simple algorithm for identifying negated findings and diseases in discharge summaries.
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Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.
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CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang. Bioinformatics 2020
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ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.
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DNorm: disease name normalization with pairwise learning to rank.
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Semantic annotation in biomedicine: the current landscape.
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NCBI disease corpus: a resource for disease name recognition and concept normalization.
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A general natural-language text processor for clinical radiology.
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Negation's not solved: generalizability versus optimizability in clinical natural language processing.
Stephen Wu, Timothy Miller, James Masanz, Matt Coarr, Scott Halgrim, David Carrell, Cheryl Clark. PLoS One 2014
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Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
Sameer Pradhan, Noémie Elhadad, Brett R South, David Martinez, Lee Christensen, Amy Vogel, Hanna Suominen, Wendy W Chapman, Guergana Savova. J Am Med Inform Assoc 2015
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Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.
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ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis.
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Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.
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Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.
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A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.
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Comparison of MetaMap and cTAKES for entity extraction in clinical notes.
Ruth Reátegui, Sylvie Ratté. BMC Med Inform Decis Mak 2018
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What can natural language processing do for clinical decision support?
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De-identification of patient notes with recurrent neural networks.
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The FAIR Guiding Principles for scientific data management and stewardship.
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A survey of current work in biomedical text mining.
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The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration.
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Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm.
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DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.
Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul Dexter, C Max Schmidt, Hongfang Liu,[...]. J Biomed Inform 2015
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Extending the NegEx lexicon for multiple languages.
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Sophia: A Expedient UMLS Concept Extraction Annotator.
Guy Divita, Qing T Zeng, Adi V Gundlapalli, Scott Duvall, Jonathan Nebeker, Matthew H Samore. AMIA Annu Symp Proc 2014
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BioCreative V CDR task corpus: a resource for chemical disease relation extraction.
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Robert Leaman, Zhiyong Lu. Bioinformatics 2016
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Deep learning with word embeddings improves biomedical named entity recognition.
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Maryam Habibi, Leon Weber, Mariana Neves, David Luis Wiegandt, Ulf Leser. Bioinformatics 2017
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Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task.
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, Zhiyong Lu. Database (Oxford) 2016
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Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.
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The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species.
Christopher J Mungall, Julie A McMurry, Sebastian Köhler, James P Balhoff, Charles Borromeo, Matthew Brush, Seth Carbon, Tom Conlin, Nathan Dunn, Mark Engelstad,[...]. Nucleic Acids Res 2017
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Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.
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Interactive use of online health resources: a comparison of consumer and professional questions.
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A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
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Ensembles of natural language processing systems for portable phenotyping solutions.
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A simple algorithm for identifying abbreviation definitions in biomedical text.
Ariel S Schwartz, Marti A Hearst. Pac Symp Biocomput 2003
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SNOMED-CT: The advanced terminology and coding system for eHealth.
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SemMedDB: a PubMed-scale repository of biomedical semantic predications.
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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader. J Am Med Inform Assoc 2019
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