Abstract: Described herein is a method and storage medium for predicting the dosage based on human physiological parameters, which can effectively predict the dosage for a patient based on the physiological parameters given by the patient. The method includes obtaining dosage data and multiple human physiological parameter data of multiple testers as raw data, preprocessing the raw data to obtain input data as a training set, based on the input data, establishing a decision tree by classification and regression tree algorithm, which includes generating the decision tree based on the feature extraction of the input data, and pruning the generated decision tree and selecting the optimal sub-tree by using a validation data set, inputting a user's human physiological parameter data, and predicting the required dosage according to the established decision tree.