Probabilistic fuzzy prediction of mortality in intensive care units

A.T.S. Fialho, U. Kaymak, R.J. Almeida, F. Cismondi, S.M. Vieira, S.R. Reti, J.M. Costa Sousa, da, S.N. Finkelstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

In the present work, we propose the application of probabilistic fuzzy systems (PFS) to model the prediction of mortality in septic shock patients. This technique is characterized by the combination of the linguistic description of the system with the statistical properties of data. Preliminary results for this particular clinical problem point that PFS models, besides performing as accurately as first order Takagi-Sugeno fuzzy models, also provide probability measures that provide additional clinical information upon which physicians can act on.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia
EditorsB. Bouchon-Meunier
Place of PublicationBrisbane
PublisherInstitute of Electrical and Electronics Engineers
Pages1427-1435
ISBN (Print)978-1-4673-1507-4
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012) - Brisbane, Australia
Duration: 10 Jun 201215 Jun 2012

Conference

Conference2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012)
Abbreviated titleFUZZ-IEEE 2012
Country/TerritoryAustralia
CityBrisbane
Period10/06/1215/06/12
OtherConference held at the 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012)

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