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

doi:10.1109/FUZZ-IEEE.2012.6251261

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

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 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 language	English
Title of host publication	2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia
Editors	B. Bouchon-Meunier
Place of Publication	Brisbane
Publisher	Institute of Electrical and Electronics Engineers
Pages	1427-1435
ISBN (Print)	978-1-4673-1507-4
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2012.6251261
Publication status	Published - 2012
Event	2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012) - Brisbane, Australia Duration: 10 Jun 2012 → 15 Jun 2012

Conference

Conference	2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012)
Abbreviated title	FUZZ-IEEE 2012
Country/Territory	Australia
City	Brisbane
Period	10/06/12 → 15/06/12
Other	Conference held at the 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012)

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10.1109/FUZZ-IEEE.2012.6251261

Cite this

Fialho, A. T. S., Kaymak, U., Almeida, R. J., Cismondi, F., Vieira, S. M., Reti, S. R., Costa Sousa, da, J. M., & Finkelstein, S. N. (2012). Probabilistic fuzzy prediction of mortality in intensive care units. In B. Bouchon-Meunier (Ed.), 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia (pp. 1427-1435). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FUZZ-IEEE.2012.6251261

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title = "Probabilistic fuzzy prediction of mortality in intensive care units",

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.",

author = "A.T.S. Fialho and U. Kaymak and R.J. Almeida and F. Cismondi and S.M. Vieira and S.R. Reti and \{Costa Sousa, da\}, J.M. and S.N. Finkelstein",

year = "2012",

doi = "10.1109/FUZZ-IEEE.2012.6251261",

language = "English",

isbn = "978-1-4673-1507-4",

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editor = "B. Bouchon-Meunier",

booktitle = "2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), FUZZ-IEEE 2012 ; Conference date: 10-06-2012 Through 15-06-2012",

}

Fialho, ATS, Kaymak, U, Almeida, RJ, Cismondi, F, Vieira, SM, Reti, SR, Costa Sousa, da, JM & Finkelstein, SN 2012, Probabilistic fuzzy prediction of mortality in intensive care units. in B Bouchon-Meunier (ed.), 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia. Institute of Electrical and Electronics Engineers, Brisbane, pp. 1427-1435, 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane, Australia, 10/06/12. https://doi.org/10.1109/FUZZ-IEEE.2012.6251261

Probabilistic fuzzy prediction of mortality in intensive care units. / Fialho, A.T.S.; Kaymak, U.; Almeida, R.J. et al.
2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia. ed. / B. Bouchon-Meunier. Brisbane: Institute of Electrical and Electronics Engineers, 2012. p. 1427-1435.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Fialho, A.T.S.

AU - Kaymak, U.

AU - Almeida, R.J.

AU - Cismondi, F.

AU - Vieira, S.M.

AU - Reti, S.R.

AU - Costa Sousa, da, J.M.

AU - Finkelstein, S.N.

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AB - 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.

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Fialho ATS, Kaymak U, Almeida RJ, Cismondi F, Vieira SM, Reti SR et al. Probabilistic fuzzy prediction of mortality in intensive care units. In Bouchon-Meunier B, editor, 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012,10-15 june 2012, Brisbane, Australia. Brisbane: Institute of Electrical and Electronics Engineers. 2012. p. 1427-1435 doi: 10.1109/FUZZ-IEEE.2012.6251261

Probabilistic fuzzy prediction of mortality in intensive care units

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