Abstract: A method of querying a status of an electronic insurance policy includes: receiving an inputted policy number; querying an initial status and an operation flow set of the electronic insurance policy corresponding to the policy number when the policy number is a valid policy number; obtaining a mapped status subset according to a status total set to which the initial status belongs and a status that each operation flow in the operation flow set is mapped in the status total set; and displaying the initial status of the electronic insurance policy and the obtained status subset.

Abstract: A method for creating an underwriting decision tree includes: acquiring a sample training set including different sample attributes; calculating an entropy value gain that represents an effect of an attribute on an underwriting result of each attribute, according to the underwriting result of a sample of each attribute in the sample training set; taking the attribute with a highest entropy value gain as a current node of the underwriting decision tree, and dividing a sub-attribute corresponding to the attribute with the highest entropy value gain as a next node of the current node; extracting a divided sample training subset of the sub-attribute from the sample training set; determining the sample training subset as the sample training set, and calculating the entropy value gain of the sub-attribute recursively and dividing the sub-attribute till the divided sub-attribute of the next node satisfies a preset condition of becoming a leaf node of the underwriting decision tree.