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Drug Side Effects Data Representation and Full Spectrum Inferencing Using Knowledge Graphs in Intelligent Telehealth

  • Saravanan Jayaraman
  • , Lixin Tao*
  • , Keke Gai
  • , Ning Jiang
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Drug side effects data contains important constraints about side-effects and conflict avoidance of component and compound drug. These are critically important in checking out prescriptions to avoid complications. Current drug data side effect representations in XML does not have a proper knowledge representation mechanism to clearly specify all kinds of dependencies among the drug components and drugs. Therefore Doctors and caregivers often rely on human interpretation to check prescriptions which can be error-prone. The recently introduced Web Ontology Language (OWL) based approach for medical drug side effects data representation still suffers from several shortcomings inherent to the OWL restrictions like using " is-a " relationship and usage of object property based workarounds losing the clarity and dynamic relationship building expected by domain experts to represent knowledge. The proposed model Drug-Side Effects Representation And Inferencing (D-SERI) built using Knowledge Graph (KG) and enhanced PaceJena shows that the proposed model allowsthe doctors and caregivers to derive dynamic information about side effects avoiding costly errors caused by human interpretation.

源语言英语
主期刊名Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
编辑Lixin Tao, Meikang Qiu, Jianwei Niu
出版商Institute of Electrical and Electronics Engineers Inc.
289-294
页数6
ISBN(电子版)9781509009459
DOI
出版状态已出版 - 16 8月 2016
已对外发布
活动3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 - Beijing, 中国
期限: 25 6月 201627 6月 2016

出版系列

姓名Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016

会议

会议3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016
国家/地区中国
Beijing
时期25/06/1627/06/16

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