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Pollen Allergies Prediction through Historical Data in Mobile Devices

Daniel H. De la Iglesia, Juan F. De Paz, Gabriel Villarubia, Ana de Luis, Sigeru Omatu


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 relate the detected levels of pollen to obtain possible relationships that result in the diagnosis of the user.


allergy, fisher's test, prediction.

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