Analysis of cough detection index based on decision tree and support vector machine

摘要: In clinical medicine, cough is a common disease. Years of diagnosis have been collected from large number patients as test data. Using these data, it possible to find the hidden rules inside which can improve accuracy cough. recent years, related problems concerned by relevant medical staff. From known data mining and processing extract knowledge, summarize experiences experts. This technology becoming more important in information field. this paper, attributes ,such peak expiratory flow fractional exhaled nitric oxide (FENO), are modeled decision tree support vector machine. The experimental results show that FENO percentage eosinophils great effect on cough, for diagnosis.