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Results: 7

Related Articles by Review for PubMed (Select 21622934)

1.

The Yale cTAKES extensions for document classification: architecture and application.

Garla V, Lo Re V 3rd, Dorey-Stein Z, Kidwai F, Scotch M, Womack J, Justice A, Brandt C.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):614-20. doi: 10.1136/amiajnl-2011-000093. Epub 2011 May 27.

2.

Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing.

Cheng LT, Zheng J, Savova GK, Erickson BJ.

J Digit Imaging. 2010 Apr;23(2):119-32. doi: 10.1007/s10278-009-9215-7. Epub 2009 May 30. Review.

3.

Clinical data mining and research in the allergy office.

Dalan D.

Curr Opin Allergy Clin Immunol. 2010 Jun;10(3):171-7. doi: 10.1097/ACI.0b013e328337bce6. Review.

PMID:
20179584
4.

A survey of current work in biomedical text mining.

Cohen AM, Hersh WR.

Brief Bioinform. 2005 Mar;6(1):57-71. Review.

5.

A review of approaches to identifying patient phenotype cohorts using electronic health records.

Shivade C, Raghavan P, Fosler-Lussier E, Embi PJ, Elhadad N, Johnson SB, Lai AM.

J Am Med Inform Assoc. 2014 Mar-Apr;21(2):221-30. doi: 10.1136/amiajnl-2013-001935. Epub 2013 Nov 7. Review.

6.

Natural language processing in biomedicine: a unified system architecture overview.

Doan S, Conway M, Phuong TM, Ohno-Machado L.

Methods Mol Biol. 2014;1168:275-94. doi: 10.1007/978-1-4939-0847-9_16. Review.

PMID:
24870142
7.

What can natural language processing do for clinical decision support?

Demner-Fushman D, Chapman WW, McDonald CJ.

J Biomed Inform. 2009 Oct;42(5):760-72. doi: 10.1016/j.jbi.2009.08.007. Epub 2009 Aug 13. Review.

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