Data Mining and Business Intelligence for Better Healthcare Decision

Sk Tanvir Ahmed
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Abstract

Business intelligence is a subject of business information whose purpose is to make strategies that include new technologies, applications, and practices to collect the targeted information. Data mining is one of the most motivating areas of research and it is become gaining popularity in healthcare organization day by day. Data mining is based on several techniques such as classification, clustering, association, and regression in the health domain. While data mining has several advantages but also has disadvantages. This research-based finding helps any healthcare organization to make the decision that helps the organization to become more popular and demandable.
用于更好的医疗保健决策的数据挖掘和商业智能
商业智能是商业信息的一门学科,其目的是制定包括新技术、应用程序和实践在内的策略,以收集目标信息。数据挖掘是最具启发性的研究领域之一,它在医疗保健组织中日益普及。数据挖掘基于健康领域中的分类、聚类、关联和回归等多种技术。虽然数据挖掘有几个优点,但也有缺点。这个基于研究的发现可以帮助任何医疗保健组织做出决策,从而帮助组织变得更受欢迎和更有需求。
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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