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Results: 1 to 20 of 115

1.

Natural language processing framework to assess clinical conditions.

Ware H, Mullett CJ, Jagannathan V.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):585-9. doi: 10.1197/jamia.M3091. Epub 2009 Apr 23.

PMID:
19390100
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

Second i2b2 workshop on natural language processing challenges for clinical records.

Uzuner O.

AMIA Annu Symp Proc. 2008 Nov 6:1252-3.

PMID:
18998924
[PubMed - indexed for MEDLINE]
3.

Description of a rule-based system for the i2b2 challenge in natural language processing for clinical data.

Childs LC, Enelow R, Simonsen L, Heintzelman NH, Kowalski KM, Taylor RJ.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):571-5. doi: 10.1197/jamia.M3083. Epub 2009 Apr 23.

PMID:
19390103
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

A text mining approach to the prediction of disease status from clinical discharge summaries.

Yang H, Spasic I, Keane JA, Nenadic G.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):596-600. doi: 10.1197/jamia.M3096. Epub 2009 Apr 23.

PMID:
19390098
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

A system for classifying disease comorbidity status from medical discharge summaries using automated hotspot and negated concept detection.

Ambert KH, Cohen AM.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):590-5. doi: 10.1197/jamia.M3095. Epub 2009 Apr 23.

PMID:
19390099
[PubMed - indexed for MEDLINE]
Free PMC Article
6.

Semi-automated construction of decision rules to predict morbidities from clinical texts.

Farkas R, Szarvas G, Hegedus I, Almási A, Vincze V, Ormándi R, Busa-Fekete R.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):601-5. doi: 10.1197/jamia.M3097. Epub 2009 Apr 23.

PMID:
19390097
[PubMed - indexed for MEDLINE]
Free PMC Article
7.

A rule-based approach for identifying obesity and its comorbidities in medical discharge summaries.

Mishra NK, Cummo DM, Arnzen JJ, Bonander J.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):576-9. doi: 10.1197/jamia.M3086. Epub 2009 Apr 23.

PMID:
19390102
[PubMed - indexed for MEDLINE]
Free PMC Article
8.

Recognizing obesity and comorbidities in sparse data.

Uzuner O.

J Am Med Inform Assoc. 2009 Jul-Aug;16(4):561-70. doi: 10.1197/jamia.M3115. Epub 2009 Apr 23.

PMID:
19390096
[PubMed - indexed for MEDLINE]
Free PMC Article
9.

Applying natural language processing toolkits to electronic health records - an experience report.

Barrett N, Weber-Jahnke JH.

Stud Health Technol Inform. 2009;143:441-6.

PMID:
19380974
[PubMed - indexed for MEDLINE]
10.

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.

PMID:
20819857
[PubMed - indexed for MEDLINE]
Free PMC Article
11.

Disseminating natural language processed clinical narratives.

Chen ES, Hripcsak G, Friedman C.

AMIA Annu Symp Proc. 2006:126-30.

PMID:
17238316
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

A clinical use case to evaluate the i2b2 Hive: predicting asthma exacerbations.

Meystre SM, Deshmukh VG, Mitchell J.

AMIA Annu Symp Proc. 2009 Nov 14;2009:442-6.

PMID:
20351896
[PubMed - indexed for MEDLINE]
Free PMC Article
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
[PubMed - indexed for MEDLINE]
14.

A suite of natural language processing tools developed for the I2B2 project.

Goryachev S, Sordo M, Zeng QT.

AMIA Annu Symp Proc. 2006:931.

PMID:
17238550
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

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.

PMID:
19484309
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

Comparing natural language processing tools to extract medical problems from narrative text.

Meystre SM, Haug PJ.

AMIA Annu Symp Proc. 2005:525-9.

PMID:
16779095
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Automatic retrieval of bone fracture knowledge using natural language processing.

Do BH, Wu AS, Maley J, Biswal S.

J Digit Imaging. 2013 Aug;26(4):709-13. doi: 10.1007/s10278-012-9531-1.

PMID:
23053906
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results.

Thomas AA, Zheng C, Jung H, Chang A, Kim B, Gelfond J, Slezak J, Porter K, Jacobsen SJ, Chien GW.

World J Urol. 2014 Feb;32(1):99-103. doi: 10.1007/s00345-013-1040-4. Epub 2013 Feb 17.

PMID:
23417341
[PubMed - indexed for MEDLINE]
19.

Extracting medical information from narrative patient records: the case of medication-related information.

Deléger L, Grouin C, Zweigenbaum P.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):555-8. doi: 10.1136/jamia.2010.003962.

PMID:
20819863
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Using rule-based natural language processing to improve disease normalization in biomedical text.

Kang N, Singh B, Afzal Z, van Mulligen EM, Kors JA.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):876-81. doi: 10.1136/amiajnl-2012-001173. Epub 2012 Oct 6.

PMID:
23043124
[PubMed - indexed for MEDLINE]
Free PMC Article
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