Event judgment method, event judgment device, storage medium and electronic device

Abstract

The invention relates to the technical field of artificial intelligence and computers and particularly relates to a brain mapping-based event judgment method, a brain mapping-based event judgment device, a storage medium and an electronic device. The method can comprise the steps of constructing a plurality of boxes for mapping cerebral cortical columns; according to the plurality of boxes, constructing a multi-layer pool for mapping a brain function identification area; constructing a library for mapping the functions of brain knowledge learning, updating and memory storage; providing a scheduling cloud for mapping the functions of brain pre-judgment, scheduling coordination and external extension; responding to a request for judging a to-be-judged event, judging the to-be-judged event through scheduling at least one layer of pools in the multi-layer pool by adopting the scheduling cloud. The invention provides a novel mode for judging the to-be-judged event. In this way, the judgingprocess of the to-be-judged event is more accordant with the thinking of people. The accuracy of judging the to-be-judged event is improved, so that the user experience is improved.

Description

technical field [0001] The present disclosure relates to the fields of artificial intelligence and computer technology, and in particular to a brain mapping-based event determination method and device, storage medium, and electronic equipment. Background technique [0002] With the rapid development of science and technology, artificial intelligence is being applied more and more in all walks of life to bring more convenience to daily life. For example, in the medical field, artificial intelligence doctors can judge patients' diseases. [0003] At present, the emergence of artificial intelligence doctors requires medical personnel to inquire and collect the patient's basic information, symptom information, examination and other information, and input the information obtained from the inquiry into the artificial intelligence doctor. The artificial intelligence doctor is constructed according to a deep learning algorithm. The judgment model is based on the information input b...

AI Technical Summary

Problems solved by technology

[0004] However, in the above method, on the one hand, the artificial intelligence doctor outputs the judgment result based on the information inquired by the medical personnel, and it cannot autonomously or comprehensively inquire about the patient, requiring human intervention, which is costly and inefficient, especially for the lack of medical personnel. In rural areas, mountainous areas, and pastoral areas with resources, the existing artificial intelligence doctors cannot give more accurate judgment results, and the user experience is poor; on the other hand, the judgment model constructed by the deep learning algorithm needs a large number of samples for training, due to Due to limitations, the accuracy of the judgment results output by the judgment model constructed by using the deep learning algorithm is not high, or only a single or a small number of specific diseases can be accurately judged

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