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Pollen Allergies Prediction through Historical Data in Mobile Devices: Profile on PlumX
Título : Pollen Allergies Prediction through Historical Data in Mobile Devices
Autor(es) : Hernández de la Iglesia, Daniel
de Paz Santana, Juan F.
Villarrubia González, Gabriel
de Luis Reboredo, Ana
Omatu, Sigeru
Palabras clave : Computer Science
Fecha de publicación : 2015
Editor : Cesar
Citación : International Journal of Artificial Intelligence. Volumen 13 (1), pp. 74-80. Cesar.
Resumen : The mobile devices have become an essential item for many people in developed countries. Thanks to small software called apps, we can use these devices for a lot of tasks. This article proposes to use these mobile devices in combination with large databases of pollen in a region to track the health status of the patient and the detected levels of pollen to obtain possible relationships that result in the diagnosis of the user.
URI : http://www.ceser.in/ceserp/index.php/ijai/article/view/3527
http://hdl.handle.net/10366/134289
ISSN : 0974-0635
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