TRIAGE FUSION MODEL TRAINING METHOD, TRIAGE METHOD, APPARATUS, DEVICE, AND MEDIUM

摘要

The present application relates to the field of big data processing. Provided is a triage fusion model training method, a triage method, an apparatus, a device and a medium. The method comprises: obtaining a treatment sample set; inputting said treatment samples into a multi-fusion neural network model containing initial parameters; performing prediction with respect to the treatment samples and obtaining at least two triage results; performing standardization conversion on each triage result to obtain standardized results; performing weight fusion on all standardized results to obtain sample triage results; obtaining, by means of loss modeling in the multi-fusion neural network model, a total loss value; if the total loss value has not reached a preset convergence condition, iteratively refreshing the initial parameters of the multi-fusion neural network model until convergence, then recording the post-convergence multi-fusion neural network model as a triage fusion model. The present method improves performance and accuracy of multi-fusion neural network model identification. The present application is applicable to the fields of smart medical care, etc., and can further promote the development of smart cities.