Review on clinical data mining with psychiatric adverse drug reaction

S. Viveka, B. Kalaavathi
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引用次数: 4

Abstract

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.
精神科药物不良反应临床数据挖掘研究进展
在过去的几年里,人类卫生保健系统的应用有限,数据的流动非常少。但近年来,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医疗保健系统产生的复杂数据。数据挖掘是一种从医疗保健系统产生的大量数据中发现有趣知识的技术,用于分析大数据集中的模式。关联、聚类和分类是用来帮助更好地利用数据的工具。它有助于卫生保健专业人员确认发现药物的质量、处方治疗和药物的不良反应。
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