Auxiliary diagnosis method, device and equipment for infantile autism of infants and storage medium

Abstract

The invention discloses an auxiliary diagnosis method for infantile autism of infants. The auxiliary diagnosis method comprises the steps of obtaining basic information of a diagnosis object, and encoding the basic information into a first type of feature vectors; acquiring dynamic information of the diagnosis object, and extracting a second type of feature vectors from the dynamic information byusing a convolutional neural network; when the diagnosis object is stimulated, acquiring response data generated by the diagnosis object based on stimulation, and extracting a third type of feature vectors; utilizing the neural network to receive input of the first type of feature vectors, the second type of feature vectors and the third type of feature vectors, and outputting an expression behavior label of the diagnosis object; and outputting autism possibility information of the diagnosis object based on the expression behavior label. The invention further provides an auxiliary diagnosis device and equipment for infantile autism of infants and a storage medium. Early diagnosis and intervention can be performed on the infant autism before the infants have clinical symptoms on the basis of multi-mode deep learning, and treatment of the infant autism is better assisted.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an auxiliary diagnosis method, device, equipment and storage medium for infant autism. Background technique [0002] In recent years, the global incidence of autism has shown a rising trend, and a large number of autistic people are facing the dilemma of lack of resources for diagnosis and treatment. In this context, scientists and doctors began to apply artificial intelligence to early diagnosis and rehabilitation training of artificial intelligence. Autism, also known as autism, is a neurodevelopmental disorder that was first reported and described in 1943. Its main features include language development delay, repetitive stereotyped behavior, social interaction and communication barriers, etc. Although so many years have passed since the first report of autism in humans, there are still many difficulties in the diagnosis and treatment of autism, one...

AI Technical Summary

Problems solved by technology

In general, the diagnosis of autism in adults can be made based on their verbal expression, but infants cannot express themselves verbally, so they can only be diagnosed by observing their behavior, and doctors can only observe and evaluate infants after they are two years old , so as to determine whether the baby needs medical intervention, but this may cause the autistic baby to miss the best time for intervention

[0003] Since brain changes in patients with neurodegenerative diseases often precede clinical manifestations, that is, brain imaging changes first, based on this observation, it is possible to diagnose whether an infant needs early intervention, but there is no such thing in the existing technology. diagnostic methods like this

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