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医学信息学中的理论、抽象与设计。

Theory, abstraction and design in medical informatics.

作者信息

Maojo V, Martín F, Crespo J, Billhardt H

机构信息

Artificial Intelligence Lab., Polytechnical University of Madrid, Campus de Montegancedo, Madrid.

出版信息

Methods Inf Med. 2002;41(1):44-50.

Abstract

OBJECTIVE

To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for the future.

METHODS

We have adapted a classical ACM and IEEE report on computing to analyze Medical Informatics from three different viewpoints: Theory, Abstraction, and Design.

RESULTS

We suggest that Medical Informatics can be considered from these three perspectives: (1) Theory, from which medical informaticians formally characterize the properties of the objects of study, creating new theories or using and adapting existing theories (e.g., from mathematics), (2) Abstraction, from which medical informaticians deal with all aspects of medical information and create new abstractions, methods, and technology-independent models, which can be experimentally verified, and (3) Design, from which medical informaticians develop systems or act as information brokers or advisors between medical and technology professionals, to improve the quality of computer applications in medicine.

CONCLUSION

Based on this framework, we suggest that Medical Informatics has an independent scientific character, different from other applied informatics areas. Finally, we analyze these three perspectives using data mining in medicine.

摘要

目的

分析医学信息学的科学与工程组成部分。应对这些组成部分进行清晰的特征描述,以便对医学信息学的不同领域进行分类,并为未来制定研究议程。

方法

我们采用了美国计算机协会(ACM)和电气与电子工程师协会(IEEE)一份关于计算的经典报告,从理论、抽象和设计这三个不同视角分析医学信息学。

结果

我们认为可从以下三个角度来考量医学信息学:(1)理论,医学信息学家据此正式描述研究对象的属性,创建新理论或运用并改编现有理论(如来自数学领域的理论);(2)抽象,医学信息学家据此处理医学信息的各个方面,创建新的抽象概念、方法及与技术无关的模型,这些均可通过实验验证;(3)设计,医学信息学家据此开发系统,或在医学专业人员与技术专业人员之间充当信息中介或顾问,以提高医学领域计算机应用的质量。

结论

基于这一框架,我们认为医学信息学具有独立的科学特性,有别于其他应用信息学领域。最后,我们运用医学数据挖掘对这三个视角进行分析。

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