Toward answering time-related questions from adverse event reports using ontology-based approaches

Cui Tao; Guoqian Jiang; Kim Clark; Deepak Sharma; Christopher G. Chute

Toward answering time-related questions from adverse event reports using ontology-based approaches

Cui Tao, Guoqian Jiang, Kim Clark, Deepak Sharma, Christopher G. Chute

Research output: Contribution to journal › Conference article › peer-review

Abstract

Identifying the time patterns from medical device adverse event reports can help clinical researchers or medical devices manufacturers to understand cause of events and predict future events. Ontology-based approaches can provide a reliable and effective system for representing both events and temporal relations, annotating the useful information from narratives, and querying and reasoning over the data. This paper discusses our vision on such a system, as well as challenges we encountered during our preliminary studies.

Original language	English (US)
Pages (from-to)	332-334
Number of pages	3
Journal	CEUR Workshop Proceedings
Volume	833
State	Published - Dec 1 2011
Event	2nd International Conference on Biomedical Ontology, ICBO 2011 - Buffalo, NY, United States Duration: Jul 26 2011 → Jul 30 2011

ASJC Scopus subject areas

Computer Science(all)

Cite this

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abstract = "Identifying the time patterns from medical device adverse event reports can help clinical researchers or medical devices manufacturers to understand cause of events and predict future events. Ontology-based approaches can provide a reliable and effective system for representing both events and temporal relations, annotating the useful information from narratives, and querying and reasoning over the data. This paper discusses our vision on such a system, as well as challenges we encountered during our preliminary studies.",

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AU - Clark, Kim

AU - Sharma, Deepak

AU - Chute, Christopher G.

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AB - Identifying the time patterns from medical device adverse event reports can help clinical researchers or medical devices manufacturers to understand cause of events and predict future events. Ontology-based approaches can provide a reliable and effective system for representing both events and temporal relations, annotating the useful information from narratives, and querying and reasoning over the data. This paper discusses our vision on such a system, as well as challenges we encountered during our preliminary studies.

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ER -

Toward answering time-related questions from adverse event reports using ontology-based approaches

Abstract

ASJC Scopus subject areas

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