Position-aware deep multi-task learning for drug-drug interaction extraction.

Journal: Artificial intelligence in medicine
Published Date: Mar 17, 2018

Abstract

OBJECTIVE: A drug-drug interaction (DDI) is a situation in which a drug affects the activity of another drug synergistically or antagonistically when being administered together. The information of DDIs is crucial for healthcare professionals to prevent adverse drug events. Although some known DDIs can be found in purposely-built databases such as DrugBank, most information is still buried in scientific publications. Therefore, automatically extracting DDIs from biomedical texts is sorely needed.

Authors

  • Deyu Zhou
    School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, Jiangsu Province 210096, China. Electronic address: d.zhou@seu.edu.cn.
  • Lei Miao
    School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing 210096, China. Electronic address: miaolei@seu.edu.cn.
  • Yulan He

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