METHOD AND SYSTEM FOR DISEASE CLASSIFICATION CODING BASED ON DEEP LEARNING, AND DEVICE AND MEDIUM
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 acq...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English French |
Published |
25.02.2021
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Subjects | |
Online Access | Get full text |
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Summary: | 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 |
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Bibliography: | Application Number: WO2020CN121962 |