检测药物阿司匹林的不良反应

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.2139/ssrn.2828472

Yihui Liu, U. Aickelin

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引用次数: 0

摘要

药物不良反应(ADR)是一个受到广泛关注的公共卫生问题。在本研究中，我们提出了一种基于特征矩阵和特征选择的adr检测方法。实验是在阿司匹林药物上进行的。药物的主要副作用被检测出来，与其他计算机化方法相比，效果更好。检测到的不良反应是基于计算机化的方法，需要进一步研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detect Adverse drug reactions for drug Aspirin

Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.

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2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

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