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Link to original content: https://doi.org/10.5220/0006368806590666
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Authors: Milene Santos Teixeira ; Vinicius Maran ; João Carlos D. Lima ; Iara Augustin and Alencar Machado

Affiliation: Universidade Federal de Santa Maria, Brazil

Keyword(s): Ambient Assisted Living, Health Decline Detection, Fuzzy Logic, Fuzzy Model.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems

Abstract: Detecting a decline in the health condition of a patient may still be considered a challenge in Ambient Assisted Living (AAL) since the concept of ‘decline’ is vague and imprecise. In this context, Fuzzy Logic comes as an excellent alternative for AAL systems. This paper presents a model based on Fuzzy logic reasoning in order to identify a possible decline in the patient health condition. In order to achieve this goal, the model considers relevant situations that may somehow impact the patient. To evaluate the model, a case study was developed, showing that the developed model can simulate the human reasoning and be used in an AAL system.

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Paper citation in several formats:
Santos Teixeira, M. ; Maran, V. ; D. Lima, J. ; Augustin, I. and Machado, A. (2017). Fuzzy Based Model to Detect Patient’s Health Decline in Ambient Assisted Living. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 659-666. DOI: 10.5220/0006368806590666

@conference{iceis17,
author={Milene {Santos Teixeira} and Vinicius Maran and João Carlos {D. Lima} and Iara Augustin and Alencar Machado},
title={Fuzzy Based Model to Detect Patient’s Health Decline in Ambient Assisted Living},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={659-666},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006368806590666},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Fuzzy Based Model to Detect Patient’s Health Decline in Ambient Assisted Living
SN - 978-989-758-247-9
IS - 2184-4992
AU - Santos Teixeira, M.
AU - Maran, V.
AU - D. Lima, J.
AU - Augustin, I.
AU - Machado, A.
PY - 2017
SP - 659
EP - 666
DO - 10.5220/0006368806590666
PB - SciTePress

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