Classifying biomedical abstracts using committees of classifiers and collective ranking techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5549 LNAI, Issue , 2009, Pages 224-228

  Kouznetsov, Alexandre ^a   Matwin, Stan ^a   Inkpen, Diana ^a   Razavi, Amir H ^a   Frunza, Oana ^a   Sehatkar, Morvarid ^a   Seaward, Leanne ^a   O'Blenis, Peter ^b  

^a UNIVERSITY OF OTTAWA   (Canada)

^b TrialStat Corporation   (Canada)

Author keywords

Automatic Text Classification; Machine Learning; Ranking Algorithms; Systematic Reviews

Indexed keywords

AUTOMATIC TEXT CLASSIFICATION; BIOMEDICAL ABSTRACTS; EVIDENCE-BASED MEDICINE; HIGH CONFIDENCE; HUMAN EXPERT; IN-BUILDINGS; MACHINE LEARNING; RANKING ALGORITHMS; RANKING TECHNIQUE; REPRESENTATION TECHNIQUES; SYSTEMATIC REVIEW; SYSTEMATIC REVIEWS; WORKLOAD REDUCTION;

ABSTRACTING; ARTIFICIAL INTELLIGENCE; CLASSIFIERS; ROBOT LEARNING; TEXT PROCESSING;

LEARNING ALGORITHMS;

EID: 69849112407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01818-3_29     Document Type: Conference Paper

References (7)

1. Sackett, D.L., Rosenberg, W.M., Gray, J.A., Haynes, R.B., Richardson, W.: Evidence based medicine: what it is and what it isn't. BMJ 312(7023), 71-72 (1996
2. TrialStat corporation web resources, http://www.trialstat.com/
3. Pedersen, T., Kulkarni, A., Angheluta, R., Kozareva, Z., Solorio, T.: An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features. In: Gelbukh, A. (ed.) CICLing 2006. LNCS, vol.3878, pp. 208-222. Springer, Heidelberg (2006
4. Rennie, J., Shih, L., Teevan, J., Karger, D.: Tackling the poor assumptions of naive bayes text classifiers. In: ICML 2003, Washington DC (2003
5. Su, J., Zhang, H., Ling, C.X., Matwin, S.: Discriminative Parameter Learning for Bayesian Networks. In: ICML 2008 (2008
6. Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the 16th International Conference on ML, Slovenia, pp. 124-133 (1999
7. Freund, Y., Schapire, R.: Experiments with a new boosting algorithm. In: Thirteenth International Conference on ML, San Francisco, pp. 148-156 (1996