Identifying QT prolongation from ECG impressions using Natural Language Processing and Negation Detection

Studies in Health Technology and Informatics

Volumn 129, Issue , 2007, Pages 1283-1288

  Denny, Joshua C ^a,b   Peterson, Josh F ^a,b  

^a Div of Biomedical Informatics   (United States)

^b VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

concept identification; decision support; electrocardiogram; natural language processing; Unified Medical Language System

Indexed keywords

CLINICAL RESEARCH; DECISION SUPPORT SYSTEMS; ELECTROCARDIOGRAPHY; OBJECT ORIENTED PROGRAMMING;

CONCEPT IDENTIFICATION; DECISION SUPPORTS; FALSE NEGATIVES; POSITIVE PREDICTIVE VALUES; QT PROLONGATION; QTC INTERVALS; SUDDEN CARDIAC DEATHS; UNIFIED MEDICAL LANGUAGE SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ALGORITHM; ARTICLE; ELECTROCARDIOGRAPHY; EVALUATION; HUMAN; LONG QT SYNDROME; MEDICAL INFORMATION SYSTEM; NATURAL LANGUAGE PROCESSING;

ALGORITHMS; ELECTROCARDIOGRAPHY; HUMANS; LONG QT SYNDROME; NATURAL LANGUAGE PROCESSING; UNIFIED MEDICAL LANGUAGE SYSTEM;

EID: 35748983563     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (22)

1. Ray WA, Murray KT, Meredith S, Narasimhulu SS, Hall K, Stein CM. Oral erythromycin and the risk of sudden death from cardiac causes. N Engl J Med 2004 Sep 9; 351(11): 1089-96
2. Roden DM. Drug-induced prolongation of the QT interval. N Engl J Med 2004 Mar 4;350(10):1013-22
3. Bresalier RS, Sandler RS, Quan H, Bolognese JA, Oxenius B, Horgan K, Lines C, Riddell R, Morton D, Lanas A, Konstam MA, Baron JA. Cardiovascular events associated with rofecoxib in a colorectal adenoma chemoprevention trial. N Engl J Med 2005 Mar 17;352(11):1092-102
4. Solomon SD, McMurray JJ, Pfeffer MA, Wittes J, Fowler R, Finn P, Anderson WF, Zauber A, Hawk E, Bertagnolli M. Cardiovascular risk associated with celecoxib in a clinical trial for colorectal adenoma prevention. N Engl J Med 2005 Mar 17;352(11):1071-80
5. Zeltser D, Justo D, Halkin A, Rosso R, Ish-Shalom M, Hochenberg M, Viskin S. Drug-induced atrioventricular block: prognosis after discontinuation of the culprit drug. J Am Coll Cardiol 2004 Jul 7;44(1):105-8
6. Bazett H. An analysis of the time relationship of electrocardiograms. Heart. 1920;7:353-70
7. Drugs that prolong the QT interval and/or induce Torsades dr Pointes ventricular arrhythmia. [cited 2006 12/2]; Available from: http://www. arizonacert. org/medical-pros/ drug-lists/drug-lists. htm
8. Tsai TL, Fridsma DB, Gatti G. Computer decision support as a source of interpretation error: the case of electrocardiograms. J Am Med Inform Assoc. 2003 Sep-Oct; 10(5):478-83
9. Willems JL, Abreu-Lima C, Arnaud P, van Bemmel JH, Brohet C, Degani R, Denis B, Gehring J, Graham I, van Herpen G, et al. The diagnostic performance of computer programs for the interpretation of electrocardiograms. N Engl J Med 1991 Dec 19;325(25):1767-73
10. Olsson SE, Ohlsson M, Ohlin H, Dzaferagic S, Nilsson ML, Sandkull P, Edenbrandt L. Decision support for the initial triage of patients with acute coronary syndromes. Clin Physiol Funct Imaging 2006 May;26(3):151-6
11. Paoletti M, Marchesi C. Discovering dangerous patterns in long-term ambulatory ECG recordings using a fast QRS detection algorithm and explorative data analysis. Comput Methods Programs Biomed 2006 Apr;82(1):20-30
12. Fiszman M, Chapman WW, Aronsky D, Evans RS, Haug PJ. Automatic detection of acute bacterial pneumonia from chest X-ray reports. J Am Med Inform Assoc 2000 Nov-Dec;7(6):593-604
13. Huang Y, Lowe HJ, Hersh WR. A pilot study of contextual UMLS indexing to improve the precision of concept-based representation in XML-structured clinical radiology reports. J Am Med Inform Assoc 2003 Nov-Dec;10(6):580-7
14. Friedman C, Shagina L, Lussier Y, Hripcsak G. Automated encoding of clinical documents based on natural language processing. J Am Med Inform Assoc 2004 Sep-Oct;11(5):392-402
15. Nadkarni P, Chen R, Brandt C. UMLS concept indexing for production databases: a feasibility study. J Am Med Inform Assoc 2001 Jan-Feb;8(1):80-91
16. Denny JC, Smithers JD, Miller RA, Spickard A, 3rd. " Understanding" medical school curriculum content using KnowledgeMap. J Am Med Inform Assoc 2003 Jul-Aug;10(4):351-62
17. Denny JC, Spickard A, Miller RA, Schildcrout J, Darbar D, Rosenbloom ST, Peterson JF. Identifying UMLS concepts from ECG Impressions using KnowledgeMap. AMIA Annu Symp Proc 2005:196-200
18. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform 2001 Oct;34(5):301-10
19. Elkin PL, Brown SH, Bauer BA, Husser CS, Carruth W, Bergstrom LR, Wahner-Roedler DL. A controlled trial of automated classification of negation from clinical notes. BMC Med Inform Decis Mak 2005;5(1):13
20. Mutalik PG, Deshpande A, Nadkarni PM. Use of generalpurpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS. J Am Med Inform Assoc 2001 Nov-Dec;8(6):598-609
21. Unified Medical Language System. [cited 2006 12/2]; Available from: http://www. nlm. nih. gov/research/umls/
22. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006 Mar-Apr;13(2):138-47.