Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques

M. Domínguez, J. Aroba, J. G. Enríquez, I. Ramos, J. M. Lucena-Soto, M. J. Escalona

2014

Abstract

Virological events in HIV-infected patients can rise with no apparent reason. Therefore, when they appear, immunologists or medical doctors do not know whether they will produce other future virological events or they will entail relevant clinical consequences. This paper presents the results of applying Prefurge to HIV-infected patients’ clinical data, with the aim of obtaining rules and information about this set of clinical trials data that will relate these kinds of virological events.

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Paper Citation


in Harvard Style

Domínguez M., Aroba J., G. Enríquez J., Ramos I., M. Lucena-Soto J. and J. Escalona M. (2014). Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-027-7, pages 325-330. DOI: 10.5220/0004969503250330


in Bibtex Style

@conference{iceis14,
author={M. Domínguez and J. Aroba and J. G. Enríquez and I. Ramos and J. M. Lucena-Soto and M. J. Escalona},
title={Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={325-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004969503250330},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques
SN - 978-989-758-027-7
AU - Domínguez M.
AU - Aroba J.
AU - G. Enríquez J.
AU - Ramos I.
AU - M. Lucena-Soto J.
AU - J. Escalona M.
PY - 2014
SP - 325
EP - 330
DO - 10.5220/0004969503250330