EliIE: An open-source information extraction system for clinical trial eligibility criteria
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Chunhua Weng | Noémie Elhadad | Shaodian Zhang | Gregory William Hruby | Alex Rusanov | Tian Kang | Youlan Tang | Noémie Elhadad | Shaodian Zhang | Tian Kang | C. Weng | G. Hruby | A. Rusanov | Youlan Tang
[1] Sampo Pyysalo,et al. Overview of BioNLP Shared Task 2013 , 2013, BioNLP@ACL.
[2] K. Bretonnel Cohen,et al. Frontiers of biomedical text mining: current progress , 2007, Briefings Bioinform..
[3] Wendy W. Chapman,et al. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries , 2001, J. Biomed. Informatics.
[4] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[5] Sampo Pyysalo,et al. Overview of BioNLP’09 Shared Task on Event Extraction , 2009, BioNLP@HLT-NAACL.
[6] P L Schuyler,et al. The UMLS Metathesaurus: representing different views of biomedical concepts. , 1993, Bulletin of the Medical Library Association.
[7] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[8] Hong Yu,et al. AskHERMES: An online question answering system for complex clinical questions , 2011, J. Biomed. Informatics.
[9] Makoto Miwa,et al. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures , 2016, ACL.
[10] Chunhua Weng,et al. Formal representation of eligibility criteria: A literature review , 2010, J. Biomed. Informatics.
[11] Dong Wen,et al. Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models , 2016, J. Biomed. Informatics.
[12] Chris Sander,et al. Introducing meta-services for biomedical information extraction , 2008, Genome Biology.
[13] Meliha Yetisgen-Yildiz,et al. Tumor information extraction in radiology reports for hepatocellular carcinoma patients , 2016, CRI.
[14] Oren Etzioni,et al. Open Information Extraction from the Web , 2007, CACM.
[15] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[16] Chunhua Weng,et al. Visual aggregate analysis of eligibility features of clinical trials , 2015, J. Biomed. Informatics.
[17] Yu-Chuan Li,et al. Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers , 2015, MedInfo.
[18] Xiaodong Gu,et al. Aspect-based Opinion Summarization with Convolutional Neural Networks , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[19] Chunhua Weng,et al. Initial Readability Assessment of Clinical Trial Eligibility Criteria , 2015, AMIA.
[20] Chunhua Weng,et al. Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov , 2014, ICSH.
[21] Anna Rumshisky,et al. CliNER : A Lightweight Tool for Clinical Named Entity Recognition , 2015 .
[22] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[23] Hua Xu,et al. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries , 2011, J. Am. Medical Informatics Assoc..
[24] Joel D. Martin,et al. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 , 2011, J. Am. Medical Informatics Assoc..
[25] Yen S. Low,et al. Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art , 2014, Drug Safety.
[26] Patrick B. Ryan,et al. Validation of a common data model for active safety surveillance research , 2012, J. Am. Medical Informatics Assoc..
[27] Jakub Piskorski,et al. Information Extraction: Past, Present and Future , 2013, Multi-source, Multilingual Information Extraction and Summarization.
[28] David Martínez,et al. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative , 2014, J. Am. Medical Informatics Assoc..
[29] Rae Woong Park,et al. Characterizing treatment pathways at scale using the OHDSI network , 2016, Proceedings of the National Academy of Sciences.
[30] Xiaoying Wu,et al. EliXR: an approach to eligibility criteria extraction and representation , 2011, J. Am. Medical Informatics Assoc..
[31] Hong Yu,et al. Bidirectional RNN for Medical Event Detection in Electronic Health Records , 2016, NAACL.
[32] Sampo Pyysalo,et al. brat: a Web-based Tool for NLP-Assisted Text Annotation , 2012, EACL.
[33] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[34] Claire Snowdon,et al. Does it matter if clinicians recruiting for a trial don't understand what the trial is really about? Qualitative study of surgeons' experiences of participation in a pragmatic multi-centre RCT , 2007, Trials.
[35] Thierry Poibeau,et al. Multi-source, Multilingual Information Extraction and Summarization , 2012, Theory and Applications of Natural Language Processing.
[36] Xiaolong Wang,et al. Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks , 2014, BioMed research international.
[37] Ralph Grishman,et al. Combining Neural Networks and Log-linear Models to Improve Relation Extraction , 2015, ArXiv.
[38] Alan R. Aronson,et al. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program , 2001, AMIA.
[39] W. Chapman,et al. SemEval-2014 Task 7: Analysis of Clinical Text , 2014, *SEMEVAL.
[40] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[41] I. Lombardo,et al. The efficacy of RVT-101, a 5-ht6 receptor antagonist, as an adjunct to donepezil in adults with mild-to-moderate Alzheimer’s disease: Completer analysis of a phase 2b study , 2015, Alzheimer's & Dementia.
[42] Larry P. Heck,et al. Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation , 2015, ArXiv.
[43] Suresh Manandhar,et al. SemEval-2014 Task 7: Analysis of Clinical Text , 2014, *SEMEVAL.
[44] D. Hunninghake,et al. Recruitment for controlled clinical trials: literature summary and annotated bibliography. , 1997, Controlled clinical trials.
[45] Hong Yu,et al. Learning for Biomedical Information Extraction: Methodological Review of Recent Advances , 2016, ArXiv.
[46] S W Tu,et al. The EON model of intervention protocols and guidelines. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.
[47] Özlem Uzuner,et al. Extracting medication information from clinical text , 2010, J. Am. Medical Informatics Assoc..
[48] Donald E. Brown,et al. A practical application of simulated annealing to clustering , 1990, Pattern Recognit..
[49] Hua Xu,et al. Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features , 2013, BMC Medical Informatics and Decision Making.
[50] G Hripcsak,et al. A Distribution-based Method for Assessing The Differences between Clinical Trial Target Populations and Patient Populations in Electronic Health Records , 2014, Applied Clinical Informatics.
[51] A. Valencia,et al. Overview of the protein-protein interaction annotation extraction task of BioCreative II , 2008, Genome Biology.
[52] Shuang Wang,et al. Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES , 2015, MedInfo.
[53] William R. Hersh,et al. A survey of current work in biomedical text mining , 2005, Briefings Bioinform..
[54] Nigel Collier,et al. Introduction to the Bio-entity Recognition Task at JNLPBA , 2004, NLPBA/BioNLP.
[55] Thomas Hofmann,et al. Probabilistic Latent Semantic Analysis , 1999, UAI.
[56] Russell L. Rothman,et al. The ADAPTABLE Trial and PCORnet: Shining Light on a New Research Paradigm , 2015, Annals of Internal Medicine.
[57] Sanna Salanterä,et al. Overview of the ShARe/CLEF eHealth Evaluation Lab 2013 , 2013, CLEF.
[58] Jari Björne,et al. Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization , 2013, PloS one.
[59] Zhi Jin,et al. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths , 2015, EMNLP.
[60] Shuying Shen,et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text , 2011, J. Am. Medical Informatics Assoc..
[61] Hongfang Liu,et al. Pacific Symposium on Biocomputing 9:238-249(2004) BIOLOGICAL NOMENCLATURES: A SOURCE OF LEXICAL KNOWLEDGE AND AMBIGUITY , 2022 .
[62] Chunhua Weng,et al. Structuring Clinical Trial Eligibility Criteria with the Common Data Model , 2014 .
[63] Hongfang Liu,et al. Valx: A System for Extracting and Structuring Numeric Lab Test Comparison Statements from Text , 2016, Methods of Information in Medicine.
[64] Jaime G. Carbonell,et al. Exploring events and distributed representations of text in multi-document summarization , 2016, Knowl. Based Syst..
[65] Hongfang Liu,et al. Representing information in patient reports using natural language processing and the extensible markup language. , 1999, Journal of the American Medical Informatics Association : JAMIA.
[66] Julia Adler-Milstein,et al. Electronic Health Record Adoption In US Hospitals: Progress Continues, But Challenges Persist. , 2015, Health affairs.
[67] Richard Tzong-Han Tsai,et al. Overview of BioCreative II gene mention recognition , 2008, Genome Biology.