Case-Based Reasoning for Medical and Industrial Decision Support Systems

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: WFRF:(Ahmed Mobyen Uddin) > (2010-2014) > Case-Based Reasonin...

Details
MARC

Ahmed, Mobyen UddinMälardalens högskola,Akademin för innovation, design och teknik (author)

Case-Based Reasoning for Medical and Industrial Decision Support Systems

Article/chapterEnglish2010

Publisher, publication year, extent ...

Berlin, Heidelberg :Springer,2010
printrdacarrier

Numbers

LIBRIS-ID:oai:DiVA.org:mdh-8877
https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-8877URI
https://doi.org/10.1007/978-3-642-14078-5_2DOI

Supplementary language notes

Language:English
Summary in:English

Part of subdatabase

SwePubSwePub

Classification

Subject category:vet swepub-contenttype
Subject category:kap swepub-publicationtype

Notes

The amount of medical and industrial experience and knowledge is rapidly growing and it is almost impossible to be up to date with everything. The demand of decision support system (DSS) is especially important in domains where experience and knowledge grow rapidly. However, traditional approaches to DSS are not always easy to adapt to a flow of new experience and knowledge and may also show a limitation in areas with a weak domain theory. This chapter explores the functionalities of Case-Based Reasoning (CBR) to facilitate experience reuse both in clinical and in industrial decision making tasks. Examples from the field of stress medicine and condition monitoring in industrial robots are presented here to demonstrate that the same approach assists both for clinical applications as well as for decision support for engineers. In the both domains, DSS deals with sensor signal data and integrate other artificial intelligence techniques into the CBR system to enhance the performance in a number of different aspects. Textual information retrieval, Rule-based Reasoning (RBR), and fuzzy logic are combined together with CBR to offer decision support to clinicians for a more reliable and efficient management of stress. Agent technology and wavelet transformations are applied with CBR to diagnose audible faults on industrial robots and to package such a system. The performance of the CBR systems have been validated and have shown to be useful in solving such problems in both of these domains.

Added entries (persons, corporate bodies, meetings, titles ...)

Begum, ShahinaMälardalens högskola,Akademin för innovation, design och teknik(Swepub:mdh)sbm02 (author)
Olsson, ErikMälardalens högskola,Akademin för innovation, design och teknik(Swepub:mdh)eon03 (author)
Xiong, NingMälardalens högskola,Akademin för innovation, design och teknik(Swepub:mdh)nxg01 (author)
Funk, PeterMälardalens högskola,Akademin för innovation, design och teknik(Swepub:mdh)pfk01 (author)
Mälardalens högskolaAkademin för innovation, design och teknik (creator_code:org_t)

Related titles

In:Successful Case-based Reasoning ApplicationsBerlin, Heidelberg : Springer, s. 7-529783642140778

Internet link

Find in a library

Successful Case-based Reasoning Applications (Search for host publication in LIBRIS)

To the university's database

Find more in SwePub

By the author/editor: Ahmed, Mobyen Ud ...; Begum, Shahina; Olsson, Erik; Xiong, Ning; Funk, Peter

Articles in the publication: Successful Case- ...

By the university: Mälardalen University

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se