数据挖掘技术的作用及其在医疗保健领域的应用综述

R. A, K. Rohini
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引用次数: 0

摘要

数据挖掘是金融、量化探索、教学、零售、电子商务、广告、人力服务等不同领域的目标部分。社会保险是一个跨学科的领域,是信息挖掘的程度。社会保险档案中理解疏散的任务是一项要求很高的任务,也是一项复杂的任务。异构临床设备的互操作性、患者数据的安全性以及所处理信息的自定义表示都是非常重要的。本文用机器学习算法和工具分析了数据挖掘技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey about Role of Data Mining Techniques and its Applications in Healthcare Sector
The Data mining is a goal part of different areas looking like financing, quantifiable exploration, instructing, retail, e-business, advertising, human services and so forth. Numerous analysts have been deliberately been inspected and reviewed in social insurance, which is a functioning interdisciplinary region that is the degree of information mining. The assignment of understanding evacuation in the social insurance records is a requesting undertaking and complicated as well. The interoperability of heterogeneous clinical gadgets, security of the patient data, and customized representation of the handled information is by all accounts exceptionally fundamental. In this paper analyzed Data mining techniques with machine learning algorithms and tools.
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