Evaluating Semantic Similarity for Adverse Drug Event Narratives

机译：评估不良药物事件叙事的语义相似性

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We propose a method to evaluate adverse drug event (ADE) narratives using biomedical semantic similarity measures. Automated drug surveillance systems have used social media as a prime resource to detect ADEs. However, the problem of language usage over social media has been a challenge in evaluating the performance of such systems. We address this key issue by using semantic similarity measures and the biomedical vocabularies from the Unified Medical Language System. This is important in comparing results of social media driven approaches against standard reference documents from regulatory agencies.

机译：我们提出了一种使用生物医学语义相似措施来评估不利药物事件（ADE）叙事的方法。自动化药物监控系统已使用社交媒体作为检测ades的主要资源。然而，在社交媒体上使用语言使用问题在评估此类系统的性能方面是一项挑战。我们通过使用统一医疗语言系统的语义相似度措施和生物医学词汇表来解决这个关键问题。这对于比较社交媒体驱动方法与监管机构的标准参考文件的结果进行比较。

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《International Conference on Social, Cultural, and Behavioral Modeling Prediction and Behavior Representation in Modeling and Simulation》|2018年|410p|共8页
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Hameeduddin Irfan Khaja; Marie Abate; Wanhong Zheng; Ahmed Abbasi; Donald Adjeroh;
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中图分类 TP15-53;
关键词
Semantic similarity; Adverse drug events; Social media;

机译：语义相似;不良药物事件;社交媒体;

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1. Quantitative Evaluation of Initial Symptoms as Predictors to Detect Adverse Drug Reactions Using Bayes' Theory: Expansion and Evaluation of Drug-Adverse Drug Reaction-Initial Symptom Combinations Using Adverse Event Reporting System Database [J] . Daisuke Kobayashi, Shigeru Hosaka, Emiko Inoue, Biological & pharmaceutical bulletin . 2013,第12期

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2. Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives [J] . Balaji Polepalli Ramesh MS Comp Sc PhD, Steven M Belknap MD, Zuofeng Li MD PhD, JMIR Medical Informatics . 2014,第1期

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3. Evaluation of pregabalin‐induced adverse events related to falls using the FDA adverse event reporting system and Japanese Adverse Drug Event Report databases [J] . Mukai Ririka, Hasegawa Shiori, Umetsu Ryogo, Journal of Clinical Pharmacy and Therapeutics . 2019,第2期

机译：使用FDA不良事件报告系统和日本不利药物事件报告数据库评估普瑞巴林诱导的堕落相关的不良事件的不良事件
4. Evaluating Semantic Similarity for Adverse Drug Event Narratives [C] . Hameeduddin Irfan Khaja, Marie Abate, Wanhong Zheng, International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation . 2018

机译：评估不良药物事件叙事的语义相似性
5. Signal Fusion and Semantic Similarity Evaluation for Social Media Based Adverse Drug Event Detection [D] . Khaja, Hameeduddin Irfan. 2018

机译：基于社交媒体的不良药物事件检测信号融合与语义相似性评估
6. Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study [O] . Guoqian Jiang, Hongfang Liu, Harold R Solbrig, 2015

机译：使用语义网技术挖掘严重的药物相互作用不良事件：一个案例研究
7. Quantitative Evaluation of Initial Symptoms as Predictors to Detect Adverse Drug Reactions Using Bayes’ Theory: Expansion and Evaluation of Drug-Adverse Drug Reaction?Initial Symptom Combinations Using Adverse Event Reporting System Database [O] . 小林, 大介, 保坂, 茂, 井上, 絵美子, 2013

机译：使用贝叶斯理论对作为检测不良药物反应的预测因素的初始症状进行定量评估：药物不良药物反应的扩展和评估？不良事件报告系统数据库的初始症状组合

Evaluating Semantic Similarity for Adverse Drug Event Narratives

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