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Review on clinical data mining with psychiatric adverse drug reaction

机译:精神药物不良反应的临床数据挖掘综述

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In the past years, human health care system has limited application and the flow of data was very minimal. But in recent years, health care systems produce huge volume data because the growth of medical science. We use technology to supervise the complex data produced by the health care system. Data mining is one of the technologies used to find the interesting knowledge from the vast data produced by the health care system and used to analysis the patterns in large sets of data. Association, clustering, and classification are the tools used to help better exploitation of the data. It helps the health care professional to confirm the quality of the discovered medicine, prescribed treatment and the adverse reaction of the drugs.
机译:在过去的几年中,人类医疗保健系统的应用受到限制,数据流非常少。但是近年来,由于医学科学的发展,医疗保健系统产生了大量数据。我们使用技术来监督卫生保健系统产生的复杂数据。数据挖掘是用于从医疗保健系统生成的大量数据中查找有趣知识的技术之一,并且可用于分析大数据集中的模式。关联,聚类和分类是用于帮助更好地利用数据的工具。它可以帮助医疗保健专业人员确定所发现药物的质量,处方治疗以及药物的不良反应。

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