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Autism child social behavior expression characteristic analysis system based on machine learning

A machine learning and autism technology, applied in the field of artificial intelligence, can solve the problems of children with autism, such as lack of access to symptoms, errors in symptom analysis, and training, so as to improve accuracy and standardization, improve efficiency, and ensure uniformity Effect

Pending Publication Date: 2019-06-21
EAST CHINA NORMAL UNIVERSITY +2
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AI Technical Summary

Problems solved by technology

For rehabilitation therapists, if the changed symptom combination is different from any successful analysis cases in the past, it is difficult to accurately judge how the current performance change will affect the symptom analysis
Therefore, it is very likely that there will be errors in symptom analysis, resulting in misdiagnosis, and children with autism will not receive corresponding training.

Method used

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  • Autism child social behavior expression characteristic analysis system based on machine learning
  • Autism child social behavior expression characteristic analysis system based on machine learning
  • Autism child social behavior expression characteristic analysis system based on machine learning

Examples

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Embodiment 1

[0058] like figure 1 Shown, the present invention is based on the analysis method of the autistic children's social behavior performance characteristic of machine learning, comprises following steps (as figure 2 shown):

[0059] A. Obtain a collection of social behavior symptoms of autistic children of a certain type of autistic children. Different types of social behavior symptoms include different types of performance characteristics. For example, what needs to be obtained here is the complete set of performance characteristics contained in a certain type of symptom;

[0060] B. Obtain the performance characteristics of past symptoms. Obtain previous performance characteristics, and use past characteristic information (including children's social ability development positioning map, social skills, social skills, social etiquette and other test results, corresponding test result analysis, rehabilitation suggestions, and rehabilitation frequency recommendations) as input ...

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Abstract

The invention discloses an autism child social dysfunction symptom analysis method based on machine learning. The method comprises the following steps of acquiring a social behavior characteristic setof the autism child in each type; acquiring the previous case analysis report of the autism child; learning the recorded information by a system; updating a fitting function; and performing new caseanalysis by means of the updated fitting function. The invention further discloses an autism child case analysis system based on machine learning. According to the analysis method based on machine learning, a related characteristic analysis rule is automatically learned according to existing case analysis information of the child; and furthermore in the later analysis activity, a diagnosis resultis automatically recommended to rehabilitation personnel according to the newly input characteristic parameter and the learned analysis method, thereby greatly improving rehabilitation efficiency andaccuracy, and realizing wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a machine learning-based analysis method and system for autistic children's social behavior performance characteristics. Background technique [0002] Symptom analysis is an important part of rehabilitation activities for children with autism. At present, in the rehabilitation process of children with autism, the symptom analysis is performed by the rehabilitation therapist based on the characteristic performance, and based on the analysis of symptoms with similar performance in the past, new symptom analysis is generated and fed back to the children with autism. [0003] Rehabilitation therapists generate new symptom analysis for autistic children based on previous performance characteristics and previous symptom analysis with similar performance. This method of analysis relies on previous analysis of symptoms with similar presentations. If the type...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H10/60G16H20/70
Inventor 陈东帆赵伟志陆振宇申鹏程周琪峰周琪梁雷雷
Owner EAST CHINA NORMAL UNIVERSITY
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