数据挖掘在医疗保健中的重要性:一项调查

Mohammad Hossein Tekieh, B. Raahemi
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引用次数: 44

摘要

在本调查中,我们收集了证明数据挖掘在医疗保健中的重要性的相关信息。由于收集的卫生数据量每天都在显著增加,人们认为一个能够处理和分析大型卫生数据的强大分析工具是必不可少的。使用数据挖掘技术分析电子健康记录(EHR)系统、保险索赔、健康调查和其他来源收集的健康数据集非常复杂,并且面临着非常具体的挑战,包括数据质量和隐私问题。然而,数据挖掘在医疗保健领域的应用、数据挖掘技术相对于传统方法的优势、健康数据的特殊性以及新的健康状况奥秘使得数据挖掘在健康数据分析中变得非常必要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Importance of data mining in healthcare: A survey
In this survey, we collect the related information that demonstrate the importance of data mining in healthcare. As the amount of collected health data is increasing significantly every day, it is believed that a strong analysis tool that is capable of handling and analyzing large health data is essential. Analyzing the health datasets gathered by electronic health record (EHR) systems, insurance claims, health surveys, and other sources, using data mining techniques is very complex and is faced with very specific challenges, including data quality and privacy issues. However, the applications of data mining in healthcare, advantages of data mining techniques over traditional methods, special characteristics of health data, and new health condition mysteries have made data mining very necessary for health data analysis.
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