A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes

Ronei Marcos de Moraes, Liliane S. Machado

2015

Abstract

Statistical methods have been used to classify data in different areas. In epidemiological studies, some measures follow specific statistical distribution and compatible classifiers can be designed for those cases. Classifiers based on measures that follow Poisson distributions can be found in the scientific literature. Due to uncertainty on epidemiological measures, a fuzzy approach may be interesting and the present work proposes a new classifier named Fuzzy Poisson Naive Bayes (FPNB). The theoretical development is presented as well as results of its application on simulated multidimensional data. A brief comparison with a classical Poisson Naive Bayes classifier and with a Naive Bayes classifier is performed too.

Paper Citation

in Harvard Style

Moraes R. and S. Machado L. (2015). A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 193-198. DOI: 10.5220/0005642801930198

in Bibtex Style

@conference{fcta15,
author={Ronei Marcos de Moraes and Liliane S. Machado},
title={A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015)},
year={2015},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005642801930198},
isbn={978-989-758-157-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015)
TI - A Fuzzy Poisson Naive Bayes Classifier for Epidemiological Purposes
SN - 978-989-758-157-1
AU - Moraes R.
AU - S. Machado L.
PY - 2015
SP - 193
EP - 198
DO - 10.5220/0005642801930198