Clinical entity recognition using structural support vector machines with rich features
暂无分享,去创建一个
Hua Xu | Yonghui Wu | Buzhou Tang | Min Jiang | Yonghui Wu | Buzhou Tang | Min Jiang | Hua Xu
[1] Son Doan,et al. Integrating existing natural language processing tools for medication extraction from discharge summaries , 2010, J. Am. Medical Informatics Assoc..
[2] Min Li,et al. A knowledge discovery and reuse pipeline for information extraction in clinical notes , 2011, J. Am. Medical Informatics Assoc..
[3] Shuying Shen,et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text , 2011, J. Am. Medical Informatics Assoc..
[4] 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..
[5] 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..
[6] John F. Hurdle,et al. Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research , 2008, Yearbook of Medical Informatics.
[7] Erik M. van Mulligen,et al. Using an ensemble system to improve concept extraction from clinical records , 2012, J. Biomed. Informatics.
[8] Hongfang Liu,et al. Using machine learning for concept extraction on clinical documents from multiple data sources , 2011, J. Am. Medical Informatics Assoc..
[9] Peter J. Haug,et al. A natural language parsing system for encoding admitting diagnoses , 1997, AMIA.
[10] Scott Miller,et al. Name Tagging with Word Clusters and Discriminative Training , 2004, NAACL.
[11] Randolph A. Miller,et al. Development and Evaluation of a Clinical Note Section Header Terminology , 2008, AMIA.
[12] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[13] Yue-Shi Lee,et al. Extracting Named Entities Using Support Vector Machines , 2006, KDLL.
[14] Ying He,et al. Biological Entity Recognition with Conditional Random Fields , 2008, AMIA.
[15] Yuji Matsumoto,et al. Chunking with Support Vector Machines , 2001, NAACL.
[16] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[17] Yuji Matsumoto,et al. Use of Support Vector Learning for Chunk Identification , 2000, CoNLL/LLL.
[18] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[19] Erik F. Tjong Kim Sang,et al. Representing Text Chunks , 1999, EACL.
[20] P J Haug,et al. Experience with a mixed semantic/syntactic parser. , 1995, Proceedings. Symposium on Computer Applications in Medical Care.
[21] Sunghwan Sohn,et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications , 2010, J. Am. Medical Informatics Assoc..
[22] Gary Geunbae Lee,et al. POSBIOTM-NER: a trainable biomedical named-entity recognition system , 2005, Bioinform..
[23] Dingcheng Li,et al. Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts , 2008, BioNLP.
[24] Goran Nenadic,et al. Medication information extraction with linguistic pattern matching and semantic rules , 2010, J. Am. Medical Informatics Assoc..
[25] Hong Yu,et al. Lancet: a high precision medication event extraction system for clinical text , 2010, J. Am. Medical Informatics Assoc..
[26] nhnguyen,et al. Comparisons of Sequence Labeling Algorithms and Extensions , 2007 .
[27] Shuying Shen,et al. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents , 2010, J. Am. Medical Informatics Assoc..
[28] Min Li,et al. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge , 2010, J. Am. Medical Informatics Assoc..
[29] Alan R. Aronson,et al. An overview of MetaMap: historical perspective and recent advances , 2010, J. Am. Medical Informatics Assoc..
[30] Özlem Uzuner,et al. Extracting medication information from clinical text , 2010, J. Am. Medical Informatics Assoc..
[31] Carol Friedman,et al. Research Paper: A General Natural-language Text Processor for Clinical Radiology , 1994, J. Am. Medical Informatics Assoc..
[32] Scott T. Weiss,et al. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system , 2006, BMC Medical Informatics Decis. Mak..
[33] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[34] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.