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Items: 1 to 20 of 110

1.

Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records.

Denny JC, Peterson JF, Choma NN, Xu H, Miller RA, Bastarache L, Peterson NB.

AMIA Annu Symp Proc. 2009 Nov 14;2009:141.

2.

Extracting timing and status descriptors for colonoscopy testing from electronic medical records.

Denny JC, Peterson JF, Choma NN, Xu H, Miller RA, Bastarache L, Peterson NB.

J Am Med Inform Assoc. 2010 Jul-Aug;17(4):383-8. doi: 10.1136/jamia.2010.004804.

3.

Natural language processing improves identification of colorectal cancer testing in the electronic medical record.

Denny JC, Choma NN, Peterson JF, Miller RA, Bastarache L, Li M, Peterson NB.

Med Decis Making. 2012 Jan-Feb;32(1):188-97. doi: 10.1177/0272989X11400418. Epub 2011 Mar 10.

PMID:
21393557
4.

Multi-center colonoscopy quality measurement utilizing natural language processing.

Imler TD, Morea J, Kahi C, Sherer EA, Cardwell J, Johnson CS, Xu H, Ahnen D, Antaki F, Ashley C, Baffy G, Cho I, Dominitz J, Hou J, Korsten M, Nagar A, Promrat K, Robertson D, Saini S, Shergill A, Smalley W, Imperiale TF.

Am J Gastroenterol. 2015 Apr;110(4):543-52. doi: 10.1038/ajg.2015.51. Epub 2015 Mar 10. Erratum in: Am J Gastroenterol. 2015 Dec;110(12):1743. Sherer, Eric A [added].

PMID:
25756240
5.

Automated identification of surveillance colonoscopy in inflammatory bowel disease using natural language processing.

Hou JK, Chang M, Nguyen T, Kramer JR, Richardson P, Sansgiry S, D'Avolio LW, El-Serag HB.

Dig Dis Sci. 2013 Apr;58(4):936-41. doi: 10.1007/s10620-012-2433-8. Epub 2012 Oct 21.

6.

Anatomic and advanced adenoma detection rates as quality metrics determined via natural language processing.

Gawron AJ, Thompson WK, Keswani RN, Rasmussen LV, Kho AN.

Am J Gastroenterol. 2014 Dec;109(12):1844-9. doi: 10.1038/ajg.2014.147. Epub 2014 Jun 17.

PMID:
24935271
7.

Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Raju GS, Lum PJ, Slack RS, Thirumurthi S, Lynch PM, Miller E, Weston BR, Davila ML, Bhutani MS, Shafi MA, Bresalier RS, Dekovich AA, Lee JH, Guha S, Pande M, Blechacz B, Rashid A, Routbort M, Shuttlesworth G, Mishra L, Stroehlein JR, Ross WA.

Gastrointest Endosc. 2015 Sep;82(3):512-9. doi: 10.1016/j.gie.2015.01.049. Epub 2015 Apr 22.

8.

Applying a natural language processing tool to electronic health records to assess performance on colonoscopy quality measures.

Mehrotra A, Dellon ES, Schoen RE, Saul M, Bishehsari F, Farmer C, Harkema H.

Gastrointest Endosc. 2012 Jun;75(6):1233-9.e14. doi: 10.1016/j.gie.2012.01.045. Epub 2012 Apr 4.

9.

Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.

Xu H, Fu Z, Shah A, Chen Y, Peterson NB, Chen Q, Mani S, Levy MA, Dai Q, Denny JC.

AMIA Annu Symp Proc. 2011;2011:1564-72. Epub 2011 Oct 22.

10.

Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text.

Heintzelman NH, Taylor RJ, Simonsen L, Lustig R, Anderko D, Haythornthwaite JA, Childs LC, Bova GS.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):898-905. doi: 10.1136/amiajnl-2012-001076. Epub 2012 Nov 9.

11.

Natural language processing accurately categorizes findings from colonoscopy and pathology reports.

Imler TD, Morea J, Kahi C, Imperiale TF.

Clin Gastroenterol Hepatol. 2013 Jun;11(6):689-94. doi: 10.1016/j.cgh.2012.11.035. Epub 2013 Jan 11.

12.

Reduced risk of colorectal cancer up to 10 years after screening, surveillance, or diagnostic colonoscopy.

Brenner H, Chang-Claude J, Jansen L, Knebel P, Stock C, Hoffmeister M.

Gastroenterology. 2014 Mar;146(3):709-17. doi: 10.1053/j.gastro.2013.09.001. Epub 2013 Sep 5.

PMID:
24012982
13.

Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

Patterson OV, Forbush TB, Saini SD, Moser SE, DuVall SL.

Stud Health Technol Inform. 2015;216:614-8.

PMID:
26262124
14.

Fecal occult blood test for colorectal cancer screening: an evidence-based analysis.

Health Quality Ontario.

Ont Health Technol Assess Ser. 2009;9(10):1-40. Epub 2009 Sep 1.

15.

[Results of the Czech National Colorectal Cancer Screening Programme - colonoscopy examinations].

Suchánek S, Májek O, Zavoral M, Seifert B, Ngo O, Dušek L.

Klin Onkol. 2014;27 Suppl 2:98-105. Czech.

PMID:
25494894
16.

Extracting information from the text of electronic medical records to improve case detection: a systematic review.

Ford E, Carroll JA, Smith HE, Scott D, Cassell JA.

J Am Med Inform Assoc. 2016 Sep;23(5):1007-15. doi: 10.1093/jamia/ocv180. Epub 2016 Feb 5. Review.

17.

Primary care colorectal cancer screening recommendation patterns: associated factors and screening outcomes.

Feldstein AC, Perrin N, Liles EG, Smith DH, Rosales AG, Schneider JL, Lafata JE, Myers RE, Mosen DM, Glasgow RE.

Med Decis Making. 2012 Jan-Feb;32(1):198-208. doi: 10.1177/0272989X11406285. Epub 2011 Jun 7.

18.

The effect of primary care physician counseling on participation rate and use of sedation in colonoscopy-based colorectal cancer screening program--a randomized controlled study.

Boguradzka A, Wiszniewski M, Kaminski MF, Kraszewska E, Mazurczak-Pluta T, Rzewuska D, Ptasinski A, Regula J.

Scand J Gastroenterol. 2014 Jul;49(7):878-84. doi: 10.3109/00365521.2014.913191. Epub 2014 May 5.

PMID:
24797871
19.

Validation of psoriatic arthritis diagnoses in electronic medical records using natural language processing.

Love TJ, Cai T, Karlson EW.

Semin Arthritis Rheum. 2011 Apr;40(5):413-20. doi: 10.1016/j.semarthrit.2010.05.002. Epub 2010 Aug 10.

20.

Overuse of colonoscopy for colorectal cancer screening and surveillance.

Kruse GR, Khan SM, Zaslavsky AM, Ayanian JZ, Sequist TD.

J Gen Intern Med. 2015 Mar;30(3):277-83. doi: 10.1007/s11606-014-3015-6. Epub 2014 Sep 30.

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