Medical inquiry data processing method, device, equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses a medical inquiry data processing method, device and equipment and a storage medium, which are used for full-process development and deployment of graphic processor resource management, data annotation, data quality inspection, model training, model evaluation and online release, and the processing efficiency of medical inquiry data is improved. The medical inquiry data processing method comprises the following steps: receiving a resource application request of a graphics processor, and carrying out resource allocation to obtain resource allocation information; performing data annotation, quality detection and classification on the medical inquiry training data to obtain classified data; performing model training and evaluation on a preset machine learning model to generate a target machine learning model; and calling the target machine learning model to perform keyword recognition and association degree matching on the to-be-processed medical inquiry data to obtain target treatment information. In addition, the invention also relates to a block chain technology, and the target doctor seeing information can be stored in a block chain node.

Description

technical field [0001] The present invention relates to the field of machine learning, in particular to a processing method, device, equipment and storage medium for medical consultation data. Background technique [0002] At present, there are many excellent machine learning platforms in the industry, such as Ali’s PAI platform, Amazon’s SageMaker, Microsoft’s Azure, Tencent’s TI platform, and Baidu’s PaddlePaddle. There are also many open source products, such as Google’s TensorFlow, UC Berkeley’s Caffe, Apache's Spark MLlib, and Facebook's PyTorch, etc. [0003] In the existing technology, most of the open source platforms are machine learning or deep learning basic computing frameworks, which only focus on training machine learning or deep learning models, without forming a complete set of engineering practice systems, resulting in low efficiency in the processing of medical consultation data. Contents of the invention [0004] The invention provides a processing meth...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, most of the open source platforms are machine learning or deep learning basic computing frameworks, which only focus on training machine learning or deep learning models, without forming a complete set of engineering practice systems, resulting in low efficiency in the processing of medical consultation data

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