Learning to extract adverse drug reaction events from electronic health records in Spanish

作者：

Highlights：

• Inference of a prediction model able to deal with a skewed classification problem.

• Hybrid medical event extraction combining knowledge-based and inferred classifiers.

• Detection of cause-effect relations between drugs and diseases.

• Analysis of Electronic Health Records written in Spanish.

摘要

•Inference of a prediction model able to deal with a skewed classification problem.•Hybrid medical event extraction combining knowledge-based and inferred classifiers.•Detection of cause-effect relations between drugs and diseases.•Analysis of Electronic Health Records written in Spanish.

论文关键词：Text mining,Unbalanced classification problem,Medical event extraction

论文评审过程：Received 30 December 2015, Revised 24 May 2016, Accepted 25 May 2016, Available online 26 May 2016, Version of Record 3 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.034