Prediction System of Pollen Allergies in Mobile Devices
Fecha de publicación
Springer Science + Business Media
Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection Advances in Intelligent Systems and Computing. Volumen 293, pp. 37-44.
Although pollen allergies have a high incidence in society, it is not very common to use applications that provide data on pollen levels from different measuring points and also predict the allergies a user may experience. This paper introduces a system adapted to mobile devices that displays levels of pollen in the Spanish region of Castile and León in an easy way. The proposed system also processes the information provided by users about their health, and uses the historical data of pollen to detect and estimate allergies. The system incorporates an algorithm based on statistical tests to carry out the detection of allergies.
978-3-319-07475-7 (Print) / 978-3-319-07476-4 (Online)
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