A Review on Adverse Drug Reaction Detection Techniques

Nafea, Ahmed A. and AL-Mahdawi, Manar and AL-Ani, Mohammed M. and Omar, Nazlia (2024) A Review on Adverse Drug Reaction Detection Techniques. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 12 (1). pp. 143-153. ISSN 2410-9355

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Abstract

The detection of adverse drug reactions (ADRs) is an important piece of information for determining a patient’s view of a single drug. This study attempts to consider and discuss this feature of drug reviews in medical opinion-mining systems. This paper discusses the literature that summarizes the background of this work. To achieve this aim, the first discusses a survey on detecting ADRs and side effects, followed by an examination of biomedical text mining that focuses on identifying the specific relationships involving ADRs. Finally, we will provide a general overview of sentiment analysis, particularly from a medical perspective. This study presents a survey on ADRs extracted from drug review sentences on social media, utilizing and comparing different techniques.

Item Type:	Article
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Uncontrolled Keywords:	Adverse drug reactions, Detection, Machine learning, Deep learning, Sentiment analysis, Trigger terms
Subjects:	Q Science > QC Physics T Technology > T Technology (General)
Divisions:	ARO-The Scientific Journal of Koya University > VOL 12, NO 1 (2024)
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	15 Oct 2024 09:26
Last Modified:	15 Oct 2024 09:26
URI:	http://eprints.koyauniversity.org/id/eprint/490

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