Building symptoms diagnosis criteria of traditional Chinese medical science treatment on the elderly´s pneumonia by the rough set theory

It is necessary to build symptoms diagnosis standard and healing effect evaluation target of traditional chinese medical science for solution its non-scientificalness of experience medical. With treatment on the elderly´s virus pneumonia, a mass of clinical data is collected. Then a series of process including initial null handle, subtraction operation, data dimensionality and reducing data dimension and data digging was handled. By data mining based on rough set reduction algorithm for data reduction, it deletes unnecessary targets, finds out the core indicator data, defines as bacterial pneumonia in the elderly diagnostic criteria, and provides an objective evaluation index for the healing effect evaluation target.