AllergyLESS. An Intelligent Recommender System to Reduce Exposition Time to Allergens in Smart-Cities

2019
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Authors: José Antonio García-Díaz; José Ángel Noguera-Arnaldos; María Luisa Hernández-Alcaraz; Isabel María Robles-Marín; Francisco García-Sánchez; Rafael Valencia-García
Published in: Distributed Computing and Artificial Intelligence, 15th International Conference
Publisher: Springer International Publishing

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Abstract

Allergic rhinitis affects between 10% and 30% of the worldwide population. It reduces the quality of life of the individuals and causes losses in the local economy due to absenteeism. AllergyLESS is a recommendation system to solve mobility issues of the citizens by informing them which walking routes minimizes the exposure time to allergens. The system collects air-quality and allergens metrics from wireless pollution stations and open-data sources. In the cases when the pollution stations do not cover the whole area of interest, an ontology for the healthcare domain along with a set of data mining processes are used to forecast the presence of allergens. The system was validated by carrying out a number of controlled simulations of real situations.

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Title: AllergyLESS. An Intelligent Recommender System to Reduce Exposition Time to Allergens in Smart-Cities
Authors: José Antonio García-Díaz
José Ángel Noguera-Arnaldos
María Luisa Hernández-Alcaraz
Isabel María Robles-Marín
Francisco García-Sánchez
Rafael Valencia-García
Publisher: Springer International Publishing
Book: Distributed Computing and Artificial Intelligence, 15th International Conference
Print ISBN: 978-3-319-94648-1

Electronic ISBN: 978-3-319-94649-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-94649-8_8

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