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Ontology-based knowledge management for personalized adverse drug events detection.
Cao, Feng; Sun, Xingzhi; Wang, Xiaoyuan; Li, Bo; Li, Jing; Pan, Yue.
Afiliação
  • Cao F; IBM Research - China. caofeng@cn.ibm.com
Stud Health Technol Inform ; 169: 699-703, 2011.
Article em En | MEDLINE | ID: mdl-21893837
Since Adverse Drug Event (ADE) has become a leading cause of death around the world, there arises high demand for helping clinicians or patients to identify possible hazards from drug effects. Motivated by this, we present a personalized ADE detection system, with the focus on applying ontology-based knowledge management techniques to enhance ADE detection services. The development of electronic health records makes it possible to automate the personalized ADE detection, i.e., to take patient clinical conditions into account during ADE detection. Specifically, we define the ADE ontology to uniformly manage the ADE knowledge from multiple sources. We take advantage of the rich semantics from the terminology SNOMED-CT and apply it to ADE detection via the semantic query and reasoning.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Notificação de Reações Adversas a Medicamentos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2011 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Notificação de Reações Adversas a Medicamentos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2011 Tipo de documento: Article