Survey of utilisation of fuzzy technology in Medicine and Healthcare

被引:142
作者
Abbod, MF
von Keyserlingk, DG
Linkens, DA
Mahfouf, M
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
[2] Rhein Westfal TH Aachen, Inst Anat, D-52074 Aachen, Germany
基金
英国工程与自然科学研究理事会;
关键词
fuzzy logic; neuro-fuzzy systems; expert systems; Medicine; Healthcare; survey;
D O I
10.1016/S0165-0114(99)00148-7
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The complexity of biological systems, unlike physical science applications, makes the development of computerised systems for medicine not a straightforward algorithmic solution because of the inherent uncertainty which arises as a natural occurrence in these types of applications. Human minds work from approximate data, extract meaningful information from massive data, and produce crisp solutions. Fuzzy logic provides a suitable basis for the ability to summarise and extract from masses of data impinging upon the human brain those facts that are related to the performance of the task at hand. In practice, a precise model may not exist for biological systems or it may be too difficult to model. In these cases fuzzy logic is considered as an appropriate tool for modelling and control, since our knowledge and experience are directly contained and presented in control strategies without explicit mathematical models. This paper surveys the utilisation of fuzzy logic in medical sciences, with an analysis of its possible future penetration. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:331 / 349
页数:19
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