A study on the clinical classification model for the hand venule of baby pneumonia based on decision tree algorithm

The decision tree algorithm, an analytical and predictive model to describe datum under the influence of different variables, has been successfully put to use in diagnosing and treating certain diseases. To meet the requirements and characteristics of the clinical classification for the hand venule of baby pneumonia, this paper proposes a new classification model for the hand venule of baby pneumonia on the basis of the decision tree algorithm and the differentiation rules in traditional Chinese medicine. The experiments show that the algorithm´s classification accuracy rate is over 80% for the clinical measured data and the model also has a good clinical practical value with efficient speed and robust characteristic.