The Fuzzified Quasi-Perceptron in Decision Making Concerning Treatments in Necrotizing Fasciitis
2015 (English)In: ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015), Springer, 2015, 130-141 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Springer, 2015. 130-141 p.
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9120
Fuzzified quasi perceptron, Parametric membership functions, Necrotizing fasciitis, Treatment with hyperbaric oxygen
Public Health, Global Health, Social Medicine and Epidemiology Mathematical Analysis
IdentifiersURN: urn:nbn:se:bth-11006DOI: 10.1007/978-3-319-19369-4_13ISI: 000363254600013ISBN: 978-3-319-19369-4OAI: oai:DiVA.org:bth-11006DiVA: diva2:873488
14th International Conference on Artificial Intelligence and Soft Computing (ICAISC), JUN 14-18, 2015, Zakopane, POLAND