Cognitive function screening method, system and equipment based on eye movement test and medium

Abstract

The invention provides a cognitive function screening method, system and equipment based on an eye movement test and a medium. The method comprises the following steps: acquiring data of a patient to be screened; constructing a cognitive function screening data set according to the to-be-screened patient data, and dividing the cognitive function screening data set into a training set and a test set according to a preset proportion; inputting the training set into a plurality of preset classifiers for k-time cross validation training, and integrating the plurality of preset classifiers through a soft voting method to obtain a cognitive function screening model; and inputting the test set into the cognitive function screening model for testing to obtain a screening result, so that rapid quantitative analysis can be carried out based on eye movement data of multiple disease types and multiple symptoms, intelligent screening of cognitive impairment is realized, the cognitive impairment screening efficiency and accuracy are improved, the diagnosis and treatment ability of doctors with insufficient diagnosis and treatment experience is improved, and the diagnosis and treatment experience of the doctors is improved. Effective guarantee is provided for early discovery and early treatment of diseases, and the medical workload and the long-term social burden are further relieved.

Description

technical field [0001] The invention relates to the technical field of screening for cognitive dysfunction among middle-aged and elderly people, in particular to a method, system, computer equipment and storage medium for cognitive function screening based on eye movement testing. Background technique [0002] Cognitive dysfunction refers to the impairment of one or more of memory, language, visuospatial, executive, calculation, and comprehension and judgment functions, which can be divided into mild cognitive impairment and dementia according to the severity of the impairment. Among them, mild cognitive impairment is an intermediate state between normal aging and dementia. The daily ability of patients is not significantly affected, while dementia patients have impairments in two or more cognitive domains, resulting in the patient's cognitive impairment. Significant decline in daily or social abilities has brought an economic burden that cannot be underestimated to the coun...

AI Technical Summary

Problems solved by technology

However, traditional diagnostic methods for cognitive impairment include basic clinical symptoms, neuropsychological status assessment, computed tomography (CT), magnetic resonance imaging (MRI), and single photon emission computed tomography (SPECT). Imaging, laboratory tests including blood routine and blood biochemistry, etc., are complex and cumbersome procedures, and patients have a low degree of understanding of cognitive dysfunction diseases and low cooperation in diagnosis, which makes early detection of cognitive dysfunction diseases, and Timely targeted treatment and prevention become difficult

[0003] Most of the existing intelligent screening methods for cognitive function assessment rely on the results of various diagnostic and therapeutic instruments and doctors’ diagnostic experience. Although there are some studies on cognitive function screening based on machine learning, they are limited to the physiological test data of patients and Montreal cognitive function. However, few scholars take into account the complex nonlinear relationship of various factors in the assessment of cognitive function, and compare various diagnosis and treatment and assessment data with the eye movement data collected in the process of cognitive testing. Combining and constructing eye movement data sets including patients with different cognitive impairments for machine screening analysis of cognitive functions, in order to find more sensitive and convenient new screening methods for cognitive impairment diseases

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