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基于数据挖掘的心脏病学实证研究的系统制图研究。

Systematic mapping study of data mining-based empirical studies in cardiology.

机构信息

Mohammed V University in Rabat, Morocco.

University of Murcia, Spain.

出版信息

Health Informatics J. 2019 Sep;25(3):741-770. doi: 10.1177/1460458217717636. Epub 2017 Aug 1.

Abstract

Data mining provides the methodology and technology to transform huge amount of data into useful information for decision making. It is a powerful process to extract knowledge and discover new patterns embedded in large data sets. Data mining has been increasingly used in medicine, particularly in cardiology. In fact, data mining applications can greatly benefits all parts involved in cardiology such as patients, cardiologists and nurses. This article aims to perform a systematic mapping study so as to analyze and synthesize empirical studies on the application of data mining techniques in cardiology. A total of 142 articles published between 2000 and 2015 were therefore selected, studied and analyzed according to the four following criteria: year and channel of publication, research type, medical task and empirical type. The results of this mapping study are discussed and a list of recommendations for researchers and cardiologists is provided.

摘要

数据挖掘为决策提供了将大量数据转化为有用信息的方法和技术。它是从大型数据集提取知识和发现新模式的强大过程。数据挖掘已越来越多地应用于医学,特别是心脏病学。事实上,数据挖掘应用可以使心脏病学的所有相关方(如患者、心脏病专家和护士)都受益匪浅。本文旨在进行系统的映射研究,以分析和综合数据挖掘技术在心脏病学中的应用的实证研究。因此,根据以下四个标准选择、研究和分析了 2000 年至 2015 年间发表的 142 篇文章:出版年份和渠道、研究类型、医学任务和实证类型。讨论了该映射研究的结果,并为研究人员和心脏病专家提供了一份建议清单。

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