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The Fuzzified Quasi-Perceptron in Decision Making Concerning Treatments in Necrotizing Fasciitis
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.ORCID-id: 0000-0002-9920-7946
Blekinge Cty Hosp, Dept Surg & Urol, S-37185 Karlskrona, Sweden..
Czestochowa Tech Univ, Inst Comp & Informat Sci, PL-42201 Czestochowa, Poland..
2015 (engelsk)Inngår i: ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015), Springer, 2015, s. 130-141Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In the current paper we mathematically try to support the decision concerning the treatment with hyperbaric oxygen for patients, suffering from necrotizing fasciitis. To accomplish the task, we involve the fuzzified model of a quasi-perceptron, which is our modification of the classical artificial simple neuron. By means of the fuzzification of input signals and output decision levels, we wish to distinguish between decisions "treatment without recommended hyperbaric oxygen" versus "treatment with hyperbaric oxygen". The number of decision levels can be arbitrary in order to extend the decision scale.

sted, utgiver, år, opplag, sider
Springer, 2015. s. 130-141
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9120
Emneord [en]
Fuzzified quasi perceptron, Parametric membership functions, Necrotizing fasciitis, Treatment with hyperbaric oxygen
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-11006DOI: 10.1007/978-3-319-19369-4_13ISI: 000363254600013ISBN: 978-3-319-19369-4 (tryckt)OAI: oai:DiVA.org:bth-11006DiVA, id: diva2:873488
Konferanse
14th International Conference on Artificial Intelligence and Soft Computing (ICAISC), JUN 14-18, 2015, Zakopane, POLAND
Tilgjengelig fra: 2015-11-24 Laget: 2015-11-24 Sist oppdatert: 2016-09-20bibliografisk kontrollert

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