METHOD AND SYSTEM FOR DISEASE CLASSIFICATION CODING BASED ON DEEP LEARNING, AND DEVICE AND MEDIUM

• Main Authors: SUN, Zhao, WU, Jun, FENG, Dejie, SANG, Bo, LIU, Xiaomei, LI, Fuyou
• Format: Patent
• Language: Chinese; English; French
• Published: 25.02.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

Disclosed in the present disclosure are a method and a system for disease classification coding based on deep learning, and a device and a medium. 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 t