Kampo medicine is the Japanese adaptation of traditional medicine. In Kampo medicine, ââ?¬Å?medical interviewââ?¬Â plays an important\r\nrole. ââ?¬Å?Medical interviewââ?¬Â in Japanese traditional medicine includes not only chief complaint but also a questionnaire that asked\r\nabout the patientââ?¬â?¢s lifestyle and subjective symptoms. The diagnosis by Kampo is called ââ?¬Å?Shoââ?¬Â and determined by completely\r\ndifferent view from Western medicine. Specialists gather all available information and decide ââ?¬Å?Sho.ââ?¬Â And this is the reason why\r\nnon-Kampo specialists without technical knowledge have difficulties to use traditional medicine.We analyzed ââ?¬Å?medical interviewââ?¬Â\r\ndata to establish an indicator for non-Kampo specialist without technical knowledge to perform suitable traditional medicine.We\r\npredicted ââ?¬Å?Shoââ?¬Â by using random forests algorithm which is powerful algorithm for classification. First, we use all the 2830 firstvisit\r\npatientsââ?¬â?¢ data. The discriminant ratio of training data was perfect but that of test data is only 67.0%. Second, to achieve high\r\nprediction power for practical use, we did data cleaning, and discriminant ratio of test data was 72.4%. Third, we added body mass\r\nindex (BMI) data to ââ?¬Å?medical interviewââ?¬Â data and discriminant ratio of test data is 91.2%. Originally, deficiency and excess category\r\nmeans that patient is strongly built or poorly built.We notice that the most important variable for classification is BMI.
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