Paper Info
Title
Survey of utilisation of fuzzy technology in medicine and healthcare
Abstract
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.
Year
DOI
Venue
2001
10.1016/S0165-0114(99)00148-7
Fuzzy Sets and Systems
Keywords
Field
DocType
fuzzy technology,survey,healthcare,fuzzy logic,neuro-fuzzy systems,medicine,expert systems,mathematical model,biological systems,expert system
Health care,Signal processing,Physical science,Fuzzy logic,Expert system,Artificial intelligence,Mathematical model,Intensive care,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
120
2
Fuzzy Sets and Systems
Citations 
PageRank 
References 
56
3.34
25
Authors
4
Name
Order
Citations
PageRank
Maysam F. Abbod122428.14
Diedrich G. von Keyserlingk2563.34
Derek A. Linkens321525.36
Mahdi Mahfouf423533.17