Alzheimer's disease classification and prediction system based on multi-task learning

A multi-task learning and prediction system technology, applied in the field of Alzheimer's disease classification and prediction system, can solve the problem of not being able to judge whether individuals with mild cognitive impairment will transform into Alzheimer's disease, and achieve improved classification efficiency and accuracy, avoiding processing, and reducing the need for prior knowledge
CN111488914AActive Publication Date: 2020-08-04HARBIN INST OF TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2020-08-04

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Abstract

The invention discloses an Alzheimer's disease classification and prediction system based on multi-task learning, and relates to an Alzheimer's disease classification and prediction system. The objective of the invention is to solve the problem that an existing Alzheimer's disease classification system cannot judge whether a mild cognitive impairment individual will be transformed into Alzheimer'sdisease or not. The system comprises a an image processing main module, a clinical index processing main module, a neural network main module, a training main module and a detection main module; wherein the image processing main module is used for acquiring a head image, preprocessing the acquired head image to obtain a preprocessed image, and inputting the preprocessed image into the training main module and the detection main module; wherein the clinical index processing main module is used for selecting clinical indexes, acquiring feature vectors of the clinical indexes and inputting the feature vectors of the clinical indexes into the training main module and the detection main module; and the neural network main module is used for building an Alzheimer's disease classification and prediction model. The system is applied to the technical field of intelligent medical detection.
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Description

technical field

[0001] The invention belongs to the technical field of intelligent medical detection, and in particular relates to an Alzheimer's disease classification and prediction system. Background technique

[0002] Alzheimer's disease (AD) is a chronic neurodegenerative disease and another major health threat after cardiovascular and cerebrovascular diseases and cancer. Alzheimer's disease is triggered by damage to nerve cells in areas of the brain associated with memory, and its symptoms are mainly manifested in memory impairment. Mild cognitive impairment (Mild Cognitive Impairment, MCI) is a transitional state between normal state and Alzheimer's disease, its prevalence is four times that of Alzheimer's disease, but the memory deficit it causes is relatively Symptoms are mild. Approximately 10% to 16% of people with mild cognitive impairment develop Alzheimer's disease each year. Therefore, early diagnosis and intervention of mild cognitive impairment play an im...

Claims

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