Asthma diagnosis and level of control using decision tree and fuzzy system
by Aman Tyagi; Preetvanti Singh
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 16, No. 2, 2014

Abstract: Asthma is a chronic lung disease caused due to shorten airway path of the patient. Development of a symptom-based decision support system will help in effective diagnosis, which is the focus of this paper. In this paper first phase is to diagnose asthma using data mining tools and in the second phase asthma control level is measured using fuzzy inference system. The diagnosis is based on the symptoms like sneezing, dry cough, sore throat etc. The asthma level of control is based on the symptoms like shortness of breath, limitation of activities, day time symptoms etc. Finally accuracy of the system and value of kappa coefficient is computed and reported here.

Online publication date: Sat, 25-Apr-2015

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