Method and system for disease classification coding based on deep learning, and device and medium

A method and a system for disease classification coding based on deep learning, and a device and a medium. Said method comprises: an ICD code knowledge base is constructed; a patient discharge record to be disease classification coded is acquired, and a disease diagnosis name is acquired from the patient discharge record, and it is determined wither a current disease diagnosis name is an ICD standard disease diagnosis name in the ICD code knowledge base; if not, then for the current disease diagnosis name, the most similar t ICD standard disease diagnosis names are extracted from among all of the ICD standard disease diagnosis names; a classification step is entered; and in the classification step: an ICD standard disease diagnosis name corresponding to a maximum probability value is found from among the t ICD standard disease diagnosis names, and is output; and on the basis of the ICD standard disease diagnosis name output by a model M, a corresponding ICD standard disease code is found in the ICD code knowledge base to serve as a final code result, and is output.