192: Prediction of Asthma Control Levels Using Data Mining Methods: an Evidence-based Approach
نویسندگان
چکیده
Peyman Rezaei-Hachesu, Taha Samad-Soltani, Ruhollah Khara, Mehdi Gheibi, Nazila Moftian. Assistant professor of Health Information Management, Department of Health Information technology, Tabriz University of Medical Sciences. Tabriz, Iran; PHD of Medical Informatics, Department of Health Information technology, Tehran University of Medical Sciences; PHD student of Health Information Management, Department of Health Information technology, Tabriz University of Medical Sciences; Msc of artificial intelligence, Department of Computer Engineering, University College of Nabi Akram,Tabriz; Msc of Health Information Technology, Department of Health Information technology, Tabriz University of Medical Sciences,Tabriz, Iran
منابع مشابه
Asthma Control Level Assessment by Moving from the Current Reactive Care Models into a Preventive Approach based on Fuzzy Clustering and Classification Algorithms
Background and Aim: Asthma is a common and chronic disease of respiratory tracts. The best way to treat Asthma is to control it. Experts of this field suggest the continues monitoring on Asthma symptoms and adjustment of self-care plan with offering the preventive treatment program to have desired control over Asthma. Presenting these plans by the physician is set based on the control level in ...
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