药物不良反应检测技术综述

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY Pub Date : 2024-06-07 DOI:10.14500/aro.11388
Ahmed Adil Nafea, Manar AL-Mahdawi, Mohammed M. AL-Ani, Nazlia Omar
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引用次数: 0

摘要

药物不良反应(ADRs)的检测是确定患者对单一药物看法的重要信息。本研究试图考虑和讨论医学意见挖掘系统中药物评论的这一特点。本文讨论的文献总结了这项工作的背景。为了实现这一目标,本文首先讨论了关于检测 ADR 和副作用的调查,然后研究了生物医学文本挖掘,重点是识别涉及 ADR 的特定关系。最后,我们将概述情感分析,特别是从医学角度进行分析。本研究利用并比较了不同的技术,对从社交媒体上的药物评论句子中提取的 ADR 进行了调查。
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A Review on Adverse Drug Reaction Detection Techniques
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.
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来源期刊
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY MULTIDISCIPLINARY SCIENCES-
自引率
33.30%
发文量
33
审稿时长
16 weeks
期刊最新文献
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