Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader. J Am Med Inform Assoc 2019
Times Cited: 8
Times Cited: 8
Times Cited
Times Co-cited
Similarity
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, Christopher G Chute. J Am Med Inform Assoc 2010
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, Christopher G Chute. J Am Med Inform Assoc 2010
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MetaMap Lite: an evaluation of a new Java implementation of MetaMap.
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Dina Demner-Fushman, Willie J Rogers, Alan R Aronson. J Am Med Inform Assoc 2017
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NCBI disease corpus: a resource for disease name recognition and concept normalization.
Rezarta Islamaj Doğan, Robert Leaman, Zhiyong Lu. J Biomed Inform 2014
Rezarta Islamaj Doğan, Robert Leaman, Zhiyong Lu. J Biomed Inform 2014
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CNN-based ranking for biomedical entity normalization.
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Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Hua Xu, Baohua Wang, Dong Huang. BMC Bioinformatics 2017
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Semantic annotation in biomedicine: the current landscape.
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Word sense disambiguation across two domains: biomedical literature and clinical notes.
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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).
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Yonghui Wu, Joshua C Denny, S Trent Rosenbloom, Randolph A Miller, Dario A Giuse, Lulu Wang, Carmelo Blanquicett, Ergin Soysal, Jun Xu, Hua Xu. J Am Med Inform Assoc 2017
37
The Unified Medical Language System (UMLS): integrating biomedical terminology.
Olivier Bodenreider. Nucleic Acids Res 2004
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A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.
Sungrim Moon, Serguei Pakhomov, Nathan Liu, James O Ryan, Genevieve B Melton. J Am Med Inform Assoc 2014
Sungrim Moon, Serguei Pakhomov, Nathan Liu, James O Ryan, Genevieve B Melton. J Am Med Inform Assoc 2014
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Lexical methods for managing variation in biomedical terminologies.
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BioCreative V CDR task corpus: a resource for chemical disease relation extraction.
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Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, Zhiyong Lu. Database (Oxford) 2016
25
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
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang. Bioinformatics 2020
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Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.
Canlin Zhang, Daniel Biś, Xiuwen Liu, Zhe He. BMC Bioinformatics 2019
Canlin Zhang, Daniel Biś, Xiuwen Liu, Zhe He. BMC Bioinformatics 2019
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Co-occurrence graphs for word sense disambiguation in the biomedical domain.
Andres Duque, Mark Stevenson, Juan Martinez-Romo, Lourdes Araujo. Artif Intell Med 2018
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A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
Qiang Wei, Zongcheng Ji, Zhiheng Li, Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang,[...]. J Am Med Inform Assoc 2020
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25
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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Unified medical language system coverage of emergency-medicine chief complaints.
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Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation.
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CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.
Ergin Soysal, Jingqi Wang, Min Jiang, Yonghui Wu, Serguei Pakhomov, Hongfang Liu, Hua Xu. J Am Med Inform Assoc 2018
Ergin Soysal, Jingqi Wang, Min Jiang, Yonghui Wu, Serguei Pakhomov, Hongfang Liu, Hua Xu. J Am Med Inform Assoc 2018
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MIMIC-III, a freely accessible critical care database.
Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
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MCN: A comprehensive corpus for medical concept normalization.
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky. J Biomed Inform 2019
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Developing a test collection for biomedical word sense disambiguation.
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A convolutional route to abbreviation disambiguation in clinical text.
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Medical concept normalization in social media posts with recurrent neural networks.
Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, Valentin Malykh. J Biomed Inform 2018
Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, Valentin Malykh. J Biomed Inform 2018
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simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes.
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Robert G Beiko. Bioinformatics 2016
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Sophia: A Expedient UMLS Concept Extraction Annotator.
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A simple algorithm for identifying negated findings and diseases in discharge summaries.
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Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping.
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Interactive use of online health resources: a comparison of consumer and professional questions.
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Spell checker for consumer language (CSpell).
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The effect of textual variation on concept based information retrieval.
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Consumer health information and question answering: helping consumers find answers to their health-related information needs.
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Using Lexical tools to convert Unicode characters to ASCII.
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Exploring and developing consumer health vocabularies.
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UMLS knowledge for biomedical language processing.
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The importance of consumer- and patient-oriented perspectives in biomedical and health informatics.
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An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.
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The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships.
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Integrated text mining and chemoinformatics analysis associates diet to health benefit at molecular level.
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What makes a gene name? Named entity recognition in the biomedical literature.
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The DDI corpus: an annotated corpus with pharmacological substances and drug-drug interactions.
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María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, Thierry Declerck. J Biomed Inform 2013
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Protein structures and information extraction from biological texts: the PASTA system.
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tmChem: a high performance approach for chemical named entity recognition and normalization.
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Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks.
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Qikang Wei, Tao Chen, Ruifeng Xu, Yulan He, Lin Gui. Database (Oxford) 2016
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.