A Machine Learning Approach to Extract Drug – DrugInteractions in an Unbalanced Dataset

First Challenge Task on Drug-Drug Interaction Extraction 2011.

医药卫生;计算机科学

Jacinto Mata, Ramón Santano, Daniel Blanco, Marcos Lucero, Manuel J. Maña

Others  :  http://ceur-ws.org/Vol-761/paper7.pdf
PID  :  42347

来源: CEUR

【 摘 要 】

Drug-Drug Interaction (DDI) extraction from the pharmacological literature is an emergent challenge in the text mining area. In this paper wedescribe a DDI extraction system based on a machine learning approach. Wepropose distinct solutions to deal with the high dimensionality of the problemand the unbalanced representation of classes in the dataset. On the test dataset,our best run reaches an F-measure of 0.4702.