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- Eklund, Patrik,1958-Umeå universitet,Institutionen för datavetenskap (author)
Computational intelligence for laboratory information systems
- Article/chapterEnglish1995
Publisher, publication year, extent ...
- 2009-07-08
- Informa Healthcare,1995
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:umu-80559
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80559URI
- https://doi.org/10.3109/00365519509088447DOI
Supplementary language notes
- Language:English
- Summary in:English
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Notes
- Non-linear models, such as given by neural networks and fuzzy logic, have established a good reputation for medical data analysis as computational and logical counterparts to statistical methods. Whereas multilayer perceptrons perform well with large data sets, a combination of neural learning together with fuzzy logical network interpretations provides a network reduction well suited for smaller data sets. The aim of this paper is to present an approach to neural fuzzy systems data analysis and knowledge acquisition in laboratory information systems. We also describe a software system, DiagaiD, which provides an analysis and development workbench involving laboratory data.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- fuzzy logic
- hospital data
- multilayer perceptron
Added entries (persons, corporate bodies, meetings, titles ...)
- Forsström, J. J.Department of Medicine, Turku University Central Hospital, Turku, Finland (author)
- Umeå universitetInstitutionen för datavetenskap (creator_code:org_t)
Related titles
- In:Scandinavian Journal of Clinical and Laboratory Investigation: Informa Healthcare55:s222, s. 21-300036-55131502-7686
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