Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity

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

Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity

Article/chapterEnglish2008

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2008
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LIBRIS-ID:oai:DiVA.org:mdh-7199
https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7199URI
https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7240URI

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Language:English
Summary in:English

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Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical envi-ronments. This is particularly the case in stress medicine where digital patient re-cords are becoming popular which contain not only lengthy time series measurements but also unstructured textual documents expressed in form of natural languages. This paper develops a hybrid case-based reasoning system for stress di-agnosis which is capable of coping with both numerical signals and textual data at the same time. The total case index consists of two sub-parts corresponding to signal and textual data respectively. For matching of cases on the signal aspect we present a fuzzy similarity matching metric to accommodate and tackle the imprecision and uncertainty in sensor measurements. Preliminary evaluations have revealed that this fuzzy matching algorithm leads to more accurate similarity estimates for improved case ranking and retrieval compared with traditional distance-based matching crite-ria. For evaluation of similarity on the textual dimension we propose an enhanced cosine matching function augmented with related domain knowledge. This is im-plemented by incorporating Wordnet and domain specific ontology into the textual case-based reasoning process for refining weights of terms according to available knowledge encoded therein. Such knowledge-based reasoning for matching of tex-tual cases has empirically shown its merit in improving both precision and recall of retrieved cases with our initial medical databases. Experts in the domain are very positive to our system and they deem that it will be a valuable tool to foster wide-spread experience reuse and transfer in the area of stress diagnosis and treatment.

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

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In:Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity1, s. 3-191867-366X

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By the author/editor: Ahmed, Mobyen Ud ...; Begum, Shahina; Funk, Peter; Xiong, Ning; von Schéele, Bo

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ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Computer Systems

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