PICO element detection in medical text without metadata: Are first sentences enough?

Journal of Biomedical Informatics

Volumn 46, Issue 5, 2013, Pages 940-946

  Huang, Ke Chun ^a   Chiang, I Jen ^a,b   Xiao, Furen ^a,c   Liao, Chun Chih ^a,d   Liu, Charles Chih Ho ^a,e   Wong, Jau Min ^a,c  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

^d Taipei Hospital   (Taiwan)

^e CATHAY GENERAL HOSPITAL   (Taiwan)

Author keywords

Evidence based medicine; Information extraction; Information retrieval; Natural language processing; Question answering; Text mining

Indexed keywords

CROSS VALIDATION; EVIDENCE-BASED MEDICINE; NAIVE BAYES CLASSIFIERS; NATURAL LANGUAGE PROCESSING; QUESTION ANSWERING; RANDOMIZED CONTROLLED TRIAL; STRUCTURED ABSTRACT; TEXT MINING;

DATA MINING; INFORMATION RETRIEVAL; PATIENT TREATMENT;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ACCURACY; ARTICLE; BAYESIAN LEARNING; BIOINFORMATICS; CLASSIFIER; DATA MINING; EVIDENCE BASED MEDICINE; HUMAN; INFORMATION RETRIEVAL; MODEL; NATURAL LANGUAGE PROCESSING; PATIENT INTERVENTION COMPARISON AND OUTCOME MODEL; PERFORMANCE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC);

EVIDENCE-BASED MEDICINE; INFORMATION EXTRACTION; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING; QUESTION ANSWERING; TEXT MINING;

ALGORITHMS; BAYES THEOREM; NATURAL LANGUAGE PROCESSING;

EID: 84883806449     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.07.009     Document Type: Article

References (23)

1. Sackett D.L., Rosenberg W.M.C., Gray J.A.M., Haynes R.B., Richardson W.S. Evidence based medicine: what it is and what it isn't. Br Med J 1996, 312(7023):71-72.
2. Lin J, Demner-Fushman D. The role of knowledge in conceptual retrieval. In: Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval - SIGIR '06. Seattle, Washington, USA; 2006, p. 99-106.
3. Richardson W.S., Wilson M.C., Nishikawa J., Hayward R.S. The well-built clinical question: a key to evidence-based decisions. ACP J Club 1995, 123(3):A12-A13.
4. Cheng G.Y.T. A study of clinical questions posed by hospital clinicians. J Med Lib Assoc 2004, 92(4):445-458.
5. Huang X., Lin J., Demner-Fushman D. Evaluation of PICO as a knowledge representation for clinical questions. AMIA Annu Symp Proc 2006, 2006:359-363.
6. Schardt C., Adams M., Owens T., Keitz S., Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Making 2007, 7(16):1-16.
7. Demner-Fushman D., Lin J. Answering clinical questions with knowledge-based and statistical techniques. Comput Linguist 2007, 33(1):63-103.
8. Bekhuis T., Demner-Fushman D. Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers. Artif Intell Med 2012, 55(3):197-207.
9. Boudin F., Nie J.Y., Dawes M. Clinical information retrieval using document and PICO structure. Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics. HLT '10 2010, 822-830. Association for Computational Linguistics, Los Angeles, California, ISBN 1-932432-65-5.
10. Silva C, Ribeiro B. The importance of stop word removal on recall values in text categorization. In: Proceedings of the international joint conference on neural networks, vol. 3; 2003. p. 1661-6.
11. Mcknight LM, Srinivasan P. Categorization of sentence types in medical abstracts. In: Proceedings of the 2003 annual symposium of the American medical informatics association (AMIA); 2003. p. 440-4.
12. Chung G. Sentence retrieval for abstracts of randomized controlled trials. BMC Med Inform Decis Making 2009, 9(10):1-13.
13. Boudin F., Nie J.Y., Bartlett J., Grad R., Pluye P., Dawes M. Combining classifiers for robust PICO element detection. BMC Med Inform Decis Making 2010, 10(29):1-6.
14. Kim S., Martinez D., Cavedon L., Yencken L. Automatic classification of sentences to support evidence based medicine. BMC Bioinform 2011, 12(Suppl. 2):1-10.
15. Demner-Fushman D., Lin J. Knowledge extraction for clinical question answering: preliminary results. Assoc Adv Artif Intell 2005, 1-9.
16. Miller G.A. WordNet: a lexical database for english. Commun ACM 1995, 38(11):39-41.
17. Fellbaum C. WordNet: an electronic lexical database. Language, speech, and communication 1998, MIT Press, Cambridge, Mass, ISBN 026206197X.
18. Bird S., Klein E., Loper E. Natural language processing with python 2009, O'Reilly Media, ISBN 0596516495. 1st ed.
19. Yang Y., Pedersen J.O. A comparative study on feature selection in text categorization. Proceedings of the fourteenth international conference on machine learning. ICML '97 1997, 412-420. Morgan Kaufmann Publishers Inc., San Francisco (CA, USA), ISBN 1-55860-486-3.
20. Huang K.C., Liu C.C.H., Yang S.S., Xiao F., Wong J.M., Liao C.C., et al. Classification of PICO elements by text features systematically extracted from PubMed abstracts. 2011 IEEE international conference on granular computing (GrC) 2011, 279-283. IEEE, ISBN 978-1-4577-0372-0. 10.1109/GRC.2011.6122608.
21. Wang H, Wang L, Yi L. Maximum entropy framework used in text classification. In: 2010 IEEE international conference on intelligent computing and intelligent systems (ICIS), vol. 2; 2010. p. 828-33. doi: 10.1109/ICICISYS.2010.5658639.
22. ASA 2011 Relative value guide: a guide for anesthesia values: book only 2010, Amer Soc of Anesthesiologists, ISBN 0000564117. 1st ed.
23. Dawes M., Pluye P., Shea L., Grad R., Greenberg A., Nie J.Y. The identification of clinically important elements within medical journal abstracts: patient-population-problem, exposure-intervention, comparison, outcome, duration and results (PECODR). Inform Primary Care 2007, 15(1):9-16.