Brain age assessment method for Rolandic epilepsy children based on machine learning

A machine learning, epilepsy technology, used in sensors, medical science, telemetry patient monitoring, etc.
CN113545751APending Publication Date: 2021-10-26AFFILIATED HOSPITAL OF ZUNYI UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
AFFILIATED HOSPITAL OF ZUNYI UNIV
Publication Date
2021-10-26

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Abstract

The invention discloses a brain age assessment method for Rolandic epilepsy children based on machine learning, which comprises the following steps: S100, collecting MRI data of a control group object, and performing effective model feature extraction through dimension reduction; S200, constructing a prediction model based on the effective model features extracted in S100; and S300, collecting MRI data of epilepsy children, extracting features of the test model, inputting the features of the test model into the prediction model, and outputting a prediction result, wherein the MRI data in the S100 comprises the thickness of the brain grey matter, the surface area of the brain grey matter and the volume of the brain grey matter; and the effective model features comprise at least one of respective subdivision part indexes and mixing indexes in the thickness of the brain grey matter, the surface area of the brain grey matter and the volume of the brain grey matter. According to the invention, the SVR brain age prediction model based on the features of the brain grey matter morphological indexes is adopted; and the brain age and the brain maturity of the Rolandic epilepsy children can be preliminarily evaluated.
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Description

technical field

[0001] The invention belongs to the technical field of functional index evaluation, in particular to a machine learning-based brain age evaluation method for children with Rolandic epilepsy. Background technique

[0002] Rolandic epilepsy, also known as benign childhood epilepsy with centrotemporal spikes (BECTS), is the most common childhood epilepsy syndrome, accounting for about 8-23% of childhood epilepsy, and the onset age of Rolandic epilepsy is 3 -13 years old, 8-10 years old is the onset peak, the male to female ratio is 6:4, most children with Rolandic epilepsy can spontaneously remit before the age of 16. In the past, Rolandic epilepsy was considered to be a benign syndrome with few neurological or intellectual deficits, natural regression in puberty, and low recurrence rate after disappearance.

[0003] With the deepening of research content and the development of research technology, there is now sufficient evidence that children with Rolandic ep...

Claims

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