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论医学决策支持系统的启发式本质。

On the heuristic nature of medical decision-support systems.

作者信息

Aliferis C F, Miller R A

机构信息

Department of Medicine, School of Medicine, University of Pittsburgh, PA, USA.

出版信息

Methods Inf Med. 1995 Mar;34(1-2):5-14.

PMID:9082138
Abstract

In the realm of medical decision-support systems, the term "heuristic systems" is often considered to be synonymous with "medical artificial intelligence systems" or with "systems employing informal model(s) of problem solving". Such a view may be inaccurate and possibly impede the conceptual development of future systems. This article examines the nature of heuristics and the levels at which heuristic solutions are introduced during system design and implementation. The authors discuss why heuristics are ubiquitous in all medical decision-support systems operating at non-trivial domains, and propose a unifying definition of heuristics that encompasses formal and ad hoc systems. System developers should be aware of the heuristic nature of all problem solving done in complex real world domains, and characterize their own use of heuristics in describing system development and implementation.

摘要

在医学决策支持系统领域,“启发式系统”一词常被视为与“医学人工智能系统”或“采用非正式问题解决模型的系统”同义。这种观点可能不准确,且可能阻碍未来系统的概念发展。本文探讨了启发式方法的本质,以及在系统设计和实施过程中引入启发式解决方案的层次。作者讨论了为何启发式方法在所有处理非平凡领域的医学决策支持系统中普遍存在,并提出了一个涵盖正式和临时系统的启发式方法统一定义。系统开发者应意识到在复杂现实世界领域中进行的所有问题解决都具有启发式本质,并在描述系统开发和实施时明确自己对启发式方法的运用。

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