Direct comparison between support vector machine and multinomial naive bayes algorithms for medical abstract classification

Journal of the American Medical Informatics Association

Volumn 19, Issue 5, 2012, Pages 917-

  Matwin, Stan ^a   Sazonova, Vera ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BAYESIAN LEARNING; CLASSIFICATION; HUMAN; LETTER; SUPPORT VECTOR MACHINE; TASK PERFORMANCE; BAYES THEOREM; COMPARATIVE STUDY; DATA MINING; LITERATURE; MEDICAL RESEARCH; METHODOLOGY; SENSITIVITY AND SPECIFICITY; TIME;

ALGORITHMS; BAYES THEOREM; BIOMEDICAL RESEARCH; DATA MINING; HUMANS; REVIEW LITERATURE AS TOPIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; TIME FACTORS;

EID: 84872230193     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-001072     Document Type: Letter

References (7)

1. Matwin S, Kouznetsov A, Inkpen D, et al. Performance of SVM and Bayesian classifiers on the systematic review classification task. J Am Med Inform Assoc 2011;18:104-5.
2. Cohen A. Performance of support-vector- machinebased classification on 15 systematic review topics evaluated with the WSS@95 measure. J Am Med Inform Assoc 2011;18:104-5.
3. Matwin S, Kouznetsov A, Inkpen D, et al. A new algorithm for reducing the workload of experts in performing systematic reviews. J Am Med Inform Assoc 2010;17:446-53.
4. Cohen A. Optimizing feature representation for automated systematic review work prioritization. AMIA Annu Symp Proc 2008:121-5.
5. Joachims T. Text categorization with support vector machines: learning with many relevant features. Proceedings of the 10th European Conference on Machine Learning; 1998. London: Springer-Verlag, 1998:137-42.
6. Hall M, Frank E, Holmes G, et al. The WEKA Data Mining Software: An Update. Vol. 11. SIGKDD Explorations, 2009, Issue 1.
7. Frunza O, Inkpen D, Matwin S, et al. Exploiting the systematic review protocol for classification of medical abstracts. J Artifi Intell Med 2011;51:17-25.