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Pattern-based system to extract and distinguish drugadverse effect relation from other drug-medical condition relations in the same sentence

Eltyeb, Safaa and Salim, Naomie and Himmat, Mubarak (2015) Pattern-based system to extract and distinguish drugadverse effect relation from other drug-medical condition relations in the same sentence. Arpn Journal Of Engineering And Applied Sciences, 10 (3). pp. 1085-1089. ISSN 1819-6608

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Abstract

Extraction of drug-adverse effect causal relationship supports pharmacovigilance research and reduces the manual efforts for some tasks such as drug safety monitoring and building databases for adverse drugs effects from free text. In this study, we proposed a pattern-based method to extract drug-adverse effects causal relation from medical case reports and to distinguish this relation from other drug-medical condition relations exist in the same sentences. For training and evaluation purposes; we used 481 sentences from ADE corpus. Our method combined a concept recognition system with a module for drug-adverse effect relation extraction and discrimination task based on automatic generated numerous patterns and the position of matched pattern in a sentence. Our method achieved recall of 36.1, precision of 30.6 and an F-Score of 33.1 .The result of this study provides rapid extraction of machine-understandable drug-adverse effects pairs which can help in many computational drug researches.

Item Type:Article
Uncontrolled Keywords:adverse effect, drug, information extraction, pattern-based method, relation extraction
Subjects:A General Works
ID Code:58765
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:28 Mar 2017 08:48

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