2024-03-29T01:12:10Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1342892024-03-13T09:52:54Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
00925njm 22002777a 4500
dc
Hernández de la Iglesia, Daniel
author
De Paz, Juan F.
author
Villarrubia González, Gabriel
author
Luis Reboredo, Ana de
author
Omatu, Sigeru
author
2015
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.
International Journal of Artificial Intelligence. Volumen 13 (1), pp. 74-80. Cesar.
0974-0635
http://www.ceser.in/ceserp/index.php/ijai/article/view/3527
http://hdl.handle.net/10366/134289
Computer Science
Pollen Allergies Prediction through Historical Data in Mobile Devices