Exploring Two Biomedical Text Genres for Disease Recognition

Keywords

Computer science, Natural language processing, Artificial intelligence, Sentence, Domain (mathematical analysis)

References

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Cited by

• An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical LiteratureHarsha Gurulingappa, Roman Klinger, Martin Hofmann‐Apitius — 2010
• Disease Mention Recognition with Specific FeaturesMd. Faisal Mahbub Chowdhury, Alberto Lavelli — 2010
• How users search and what they search for in the medical domainJoão Palotti, Allan Hanbury, Henning Müller — 2015
• Electronic Health Record diagnosis tool and a cross reference between coding standardsHarris Soteriades, Kleanthis Kleanthous, George Tsouloupas — 2012
• Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases.Stéfan Darmoni, Lina F. Soualmia, Catherine Letord — 2012
• Linking multiple disease-related resources through UMLSAurélie Névéol, Jiao Li, Zhiyong Lu — 2012
• Semi-automatic semantic annotation of PubMed Queries: a study on quality, efficiency, satisfactionAurélie Névéol, Rezarta Islamaj, Zhiyong Lu — 2010
• Extracting Rx information from clinical narrativeJames G. Mork, Olivier Bodenreider, Dina Demner‐Fushman — 2010
• BioAnnote: A software platform for annotating biomedical documents with application in medical learning environmentsHugo López-Fernández, Miguel Reboiro‐Jato, Daniel Glez‐Peña — 2013
• Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clusteringMiyoung Kim, Qing Dou, Osmar R. Zai͏̈ane — 2010
• A context-blocks model for identifying clinical relationships in patient recordsRezarta Islamaj, Aurélie Névéol, Zhiyong Lu — 2011
• Challenges in Clinical Natural Language Processing for Automated Disorder NormalizationRobert Leaman, Ritu Khare, Zhiyong Lu — 2015
• Improving the Effectiveness of Information Extraction from Biomedical TextFaisal Mahbub Chowdhury — 2013
• NCBI Disease Corpus: A Resource for Disease Name Recognition and Concept NormalizationRezarta Islamaj, Robert Leaman, Zhiyong Lu — 2014
• NCBI at 2013 ShARe/CLEF eHealth Shared Task: Disorder Normalization in Clinical Notes with DnormRobert Leaman, Ritu Khare, Zhiyong Lu — 2013
• Automated Disease Normalization with Low Rank ApproximationsRobert Leaman, Zhiyong Lu — 2014
• Recognition of Patient-Related Named Entities in Noisy Tele-Health TextsMiyoung Kim, Ying Xu, Osmar R. Zai͏̈ane — 2015
• BioNLP 2010: Year in reviewDina Demner‐Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou — 2010
• Advancing Biomedical Named Entity Recognition with Multivariate Feature Selection and Semantically Motivated FeaturesJames Robert Leaman — 2013
• Detection and normalization of medical terms using domain-specific term frequency and adaptive rankingM. S. Kim, Randy Goebel — 2010

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