D. Al-Dowaihi, Monirah A. Al-Ajlan, Nada Al-Zahrani, Norah Al-Quwayfili, Nouf al-Jwiser, E. Kanjo
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Prevalence of asthma, especially in air polluted areas, has dramatically increased. As a result, the demand for a system that is able to predict asthma attacks and monitor a patient's condition is becoming increasingly important. This paper presents a prototype system that allow asthma's patients to self-monitor their symptoms condition and manage their conditions accurately, as well as informing the medics in the case of emergency.
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