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Artificial Intelligence in Medicine
Volume 51, Issue 1
, Pages 17-25
, January 2011
Exploiting the systematic review protocol for classification of medical abstracts
References
- . Reducing workload in systematic review preparation using automated citation classification. Journal of the American Medical Informatics Association. 2006;13:206–219
- . Text categorization models for retrieval of high quality articles. Journal of the American Medical Informatics Association. 2005;12:207–216
- . Developing optimal search strategies for detecting clinically sound studies in MEDLINE. Journal of the American Medical Informatics Association. 1994;1:447–458
- . Glossary of terms. Machine Learning. 1998;30:271–274
- Witten IH, Frank E. Data mining: practical machine learning tools and techniques, 2nd ed. Morgan Kaufmann, San Francisco; 2005. www.cs.waikato.ac.nz/machine learning/weka/ [accessed 24.09.08].
- Ma Y. Text classification on imbalanced data: application to systematic reviews automation, M.Sc. thesis, University of Ottawa; 2007.
- . Induction on decision trees. Machine Learning. 1986;1:81–106
- . A comparative study on feature selection in text categorization. In: ICML ‘97: proceedings of the fourteenth international conference on machine learning. Morgan Kaufmann, San Francisco. 1997;p. 412–420
- . Choose your words carefully: an empirical study of feature selection metrics for text classification. In: Proceedings of the 6th European conference on principals of data mining and knowledge discovery. London, England: Springer-Verlag; 2002;p. 150–162
- National Library of Medicine, Unified medical language system fact sheet. Available at www.nlm.nih.gov/pubs/factsheets/umls.html [accessed 24.09.08].
- National Library of Medicine. MetaMap. Available at: http://mmtx.nlm.nih.gov [accessed 24.09.08].
- . Feature generation, feature selection, classifiers, and conceptual drift for biomedical document triage. In: Proceedings of the thirteenth text retrieval conference. Gaithersburg, MD: National Institute of Standards and Technology; 2004;
- . Naive Bayes for text classification with unbalanced classes. In: Proceedings of the 10th European conference on principles and practice of knowledge discovery in databases. Berlin: Springer; 2006;p. 503–510
- . Comparison of SVM and some older classification algorithms. Text classification tasks: artificial intelligence in theory and practice. 217. Boston: Springer; 2006;p. 169–78
- . Machine-learning research: four current directions. Artificial Intelligence. 1997;18:97–136
- Classifying biomedical abstracts using committees of classifiers and collective ranking techniques. In: The 22nd Canadian conference on artificial intelligence. Berlin: Springer; 2009;p. 224–228
PII: S0933-3657(10)00124-7
doi: 10.1016/j.artmed.2010.10.005
© 2010 Elsevier B.V. All rights reserved.
« Previous
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Artificial Intelligence in Medicine
Volume 51, Issue 1
, Pages 17-25
, January 2011
