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大数据研究在心脏病学中的应用与未来:单中心经验

The Application and Future of Big Database Studies in Cardiology: A Single-Center Experience.

作者信息

Lee Kuang-Tso, Hour Ai-Ling, Shia Ben-Chang, Chu Pao-Hsien

机构信息

Division of Cardiology, Department of Internal Medicine.

Heart Failure Center, Chang Gung Memorial Hospital, Chang Gung University College of Medicine.

出版信息

Acta Cardiol Sin. 2017 Nov;33(6):581-587. doi: 10.6515/ACS20170331B.

Abstract

As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women's heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.

摘要

随着医学研究技术和质量的提高,显然通过更严格的实验设计可以更好地解决心血管问题。事实上,应该投入大量的时间和资源来满足高质量研究的要求。由于伦理或经济限制,许多有价值的想法和假设无法得到验证或证明。近年来,数据库的各种新应用受到了越来越多的关注。通过使用严格的统计方法,可以获得有关某些问题的重要信息,如罕见的心血管疾病、女性心脏健康、不同药物的上市后分析,或临床和区域心脏特征的组合。然而,所有数据库都存在局限性。创建并正确解决这项研究的关键要素之一是通过可靠的分析和解释这些心脏病学数据库的过程。

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