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医学数据挖掘的独特性。

Uniqueness of medical data mining.

作者信息

Cios Krzysztof J, Moore G William

机构信息

Department of Computer Science and Engineering, University of Colorado at Denver, Campus Box 109, 1200 Larimer Street, Denver, CO 80217-3364, USA.

出版信息

Artif Intell Med. 2002 Sep-Oct;26(1-2):1-24. doi: 10.1016/s0933-3657(02)00049-0.

Abstract

This article addresses the special features of data mining with medical data. Researchers in other fields may not be aware of the particular constraints and difficulties of the privacy-sensitive, heterogeneous, but voluminous data of medicine. Ethical and legal aspects of medical data mining are discussed, including data ownership, fear of lawsuits, expected benefits, and special administrative issues. The mathematical understanding of estimation and hypothesis formation in medical data may be fundamentally different than those from other data collection activities. Medicine is primarily directed at patient-care activity, and only secondarily as a research resource; almost the only justification for collecting medical data is to benefit the individual patient. Finally, medical data have a special status based upon their applicability to all people; their urgency (including life-or-death); and a moral obligation to be used for beneficial purposes.

摘要

本文探讨了医学数据挖掘的特殊特征。其他领域的研究人员可能没有意识到医学领域隐私敏感、异构但海量的数据所带来的特殊限制和困难。本文讨论了医学数据挖掘的伦理和法律问题,包括数据所有权、对诉讼的担忧、预期收益以及特殊的管理问题。医学数据中估计和假设形成的数学理解可能与其他数据收集活动中的理解存在根本差异。医学主要致力于患者护理活动,其次才是作为研究资源;收集医学数据的几乎唯一理由是使个体患者受益。最后,医学数据因其适用于所有人、紧迫性(包括生死攸关)以及用于有益目的的道德义务而具有特殊地位。

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