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Results: 1 to 20 of 98

Similar articles for PubMed (Select 21992591)

1.

A cascade of classifiers for extracting medication information from discharge summaries.

Halgrim SR, Xia F, Solti I, Cadag E, Uzuner O.

J Biomed Semantics. 2011;2 Suppl 3:S2. doi: 10.1186/2041-1480-2-S3-S2. Epub 2011 Jul 14.

2.

Recognition of medication information from discharge summaries using ensembles of classifiers.

Doan S, Collier N, Xu H, Pham HD, Tu MP.

BMC Med Inform Decis Mak. 2012 May 7;12:36. doi: 10.1186/1472-6947-12-36.

3.

A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

Jiang M, Chen Y, Liu M, Rosenbloom ST, Mani S, Denny JC, Xu H.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):601-6. doi: 10.1136/amiajnl-2011-000163. Epub 2011 Apr 20.

4.

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.

Tang B, Cao H, Wu Y, Jiang M, Xu H.

BMC Med Inform Decis Mak. 2013;13 Suppl 1:S1. doi: 10.1186/1472-6947-13-S1-S1. Epub 2013 Apr 5.

5.

High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge.

Patrick J, Li M.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):524-7. doi: 10.1136/jamia.2010.003939.

6.

Extracting semantic lexicons from discharge summaries using machine learning and the C-Value method.

Jiang M, Denny JC, Tang B, Cao H, Xu H.

AMIA Annu Symp Proc. 2012;2012:409-16. Epub 2012 Nov 3.

7.

TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries.

Chang YC, Dai HJ, Wu JC, Chen JM, Tsai RT, Hsu WL.

J Biomed Inform. 2013 Dec;46 Suppl:S54-62. doi: 10.1016/j.jbi.2013.09.007. Epub 2013 Sep 20.

8.

Extracting medication information from clinical text.

Uzuner O, Solti I, Cadag E.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):514-8. doi: 10.1136/jamia.2010.003947.

9.

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.

Xu Y, Hong K, Tsujii J, Chang EI.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):824-32. doi: 10.1136/amiajnl-2011-000776. Epub 2012 May 14.

10.

Automated identification of diagnosis and co-morbidity in clinical records.

Cano C, Blanco A, Peshkin L.

Methods Inf Med. 2009;48(6):546-51. doi: 10.3414/ME0615. Epub 2009 Aug 20.

PMID:
19696949
11.

Improving textual medication extraction using combined conditional random fields and rule-based systems.

Tikk D, Solt I.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):540-4. doi: 10.1136/jamia.2010.004119.

12.

Integrating existing natural language processing tools for medication extraction from discharge summaries.

Doan S, Bastarache L, Klimkowski S, Denny JC, Xu H.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):528-31. doi: 10.1136/jamia.2010.003855.

13.

Extracting medication information from French clinical texts.

Deléger L, Grouin C, Zweigenbaum P.

Stud Health Technol Inform. 2010;160(Pt 2):949-53.

PMID:
20841824
14.

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

Sohn S, Wagholikar KB, Li D, Jonnalagadda SR, Tao C, Komandur Elayavilli R, Liu H.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):836-42. doi: 10.1136/amiajnl-2013-001622. Epub 2013 Apr 4.

15.

An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge.

Xu Y, Wang Y, Liu T, Tsujii J, Chang EI.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):849-58. doi: 10.1136/amiajnl-2012-001607. Epub 2013 Mar 6.

16.

Medication information extraction with linguistic pattern matching and semantic rules.

Spasic I, Sarafraz F, Keane JA, Nenadic G.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):532-5. doi: 10.1136/jamia.2010.003657.

17.

A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.

Lourenço A, Conover M, Wong A, Nematzadeh A, Pan F, Shatkay H, Rocha LM.

BMC Bioinformatics. 2011 Oct 3;12 Suppl 8:S12. doi: 10.1186/1471-2105-12-S8-S12. Erratum in: BMC Bioinformatics. 2012;13:180.

18.

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction.

Li Q, Zhai H, Deleger L, Lingren T, Kaiser M, Stoutenborough L, Solti I.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):915-21. doi: 10.1136/amiajnl-2012-001487. Epub 2012 Dec 25.

19.

Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge.

Wong A, Shatkay H.

BMC Bioinformatics. 2013;14 Suppl 3:S14. doi: 10.1186/1471-2105-14-S3-S14. Epub 2013 Feb 28.

20.

Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers.

Park SC, Pu J, Zheng B.

Acad Radiol. 2009 Mar;16(3):266-74. doi: 10.1016/j.acra.2008.08.012.

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