Probabilistic fuzzy prediction of mortality in intensive care units

@article{Fialho2012ProbabilisticFP,
  title={Probabilistic fuzzy prediction of mortality in intensive care units},
  author={Andr{\'e} S. Fialho and Uzay Kaymak and Rui Jorge Almeida and Federico Cismondi and Susana M. Vieira and Shane R. Reti and Jo{\~a}o Miguel da Costa Sousa and Stan N. Finkelstein},
  journal={2012 IEEE International Conference on Fuzzy Systems},
  year={2012},
  pages={1-8}
}
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… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 28 references

Fuzzy classification using probability-based rule weighting

J. van den Berg, U. Kaymak, W.-M. van den Bergh
Proc. 11th IEEE Int. Conf. Fuzzy Syst., 2002, pp. 991–996. • 2002
View 4 Excerpts
Highly Influenced

Pattern Recognition with Fuzzy Objective Function Algorithms

Advanced Applications in Pattern Recognition • 1981
View 3 Excerpts
Highly Influenced

Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) • 2011
View 2 Excerpts

Missing data in large intensive care units databases

A. Fialho, F. Cismondi, +4 authors S. Finkelstein
Crit Care Med, vol. 38, 2010. • 2010
View 1 Excerpt

The medan database

E. Hanisch, R. Brause, B. Arlt, J. Paetz, K. Holzer
Tech. Rep., 2009. • 2009
View 1 Excerpt

Prognosis in critical care.

Annual review of biomedical engineering • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…