IJIMT 2013 Vol.4(2): 272-276 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.405

Two-Step Text Classification for Multi-Label Drug Monographs

Verayuth Lertnattee and Chanisara Lueviphan
Abstract— With an increasing number of documents for drug information, automatic classification of documents is an important task for organizing these documents into appropriated classes. Only a few research works on text classification of drug documents, were contributed. In this task, monographs of drug can be categorized to one class or multiple classes by their indications. A two-step text classification for multi-label documents is proposed. A set of drug monographs is drawn from RxList and DailyMed websites and used for evaluating the proposed method. In the first step, documents are classified as single-label or multi-label documents. The result from the first step is applied on the second step of classification based on their therapeutic classes. From the experimental results, the two-step classification is an efficient method to classify a document into one or multiple classes.

Index Terms— Text categorization, text classification, multi-label classification, drug monograph classification.

The authors are with the Faculty of Pharmacy, Silpakorn University, Nakorn Pathom, 73000 Thailand (e-mail: verayuth@su.ac.th, verayuths@hotmail.com, chanisara@su.ac.th).

[PDF]

Cite: Verayuth Lertnattee and Chanisara Lueviphan, " Two-Step Text Classification for Multi-Label Drug Monographs," International Journal of Innovation, Management and Technology vol. 4, no. 2, pp. 272-276, 2013.

Copyright © 2008-2015. International Journal of Innovation, Management and Technology. All rights reserved.
E-mail: ijimt@ejournal.net