Multi-dimensional early warning model construction method for screening high risk of cognitive impairment and evaluation system thereof

Abstract

The invention discloses a multi-dimensional early warning model construction method for screening high risk of cognitive impairment and an evaluation system thereof. The method comprises the following steps: formulating a group entering standard and collecting information of subjects in a community; collecting basic data and hematuria indexes, conducting a neuropsychological test, and recording and storing data; preliminarily screening out data indexes with significant difference between a cognitive disorder high-risk group and a normal group, and taking the data indexes as effective risk prediction indexes; respectively establishing three early warning models by adopting a multi-factor logistic regression method, drawing a subject working characteristic curve of the corresponding early warning model, selecting an optimal early warning model threshold parameter, and calculating a prediction effect of the corresponding early warning model; and constructing a multi-dimensional cognitive impairment high-risk screening system embedded with a mobile terminal or a computer, and according to data information input by a subject, automatically analyzing and calculating a risk score by the system, and outputting a risk level and a specific health suggestion. According to the invention, a plurality of choices are provided in combination with the self condition of the subject, and the sensitivity accuracy is increased from low to high.

Description

technical field [0001] The invention relates to the technical field of cognitive impairment screening, in particular to a method for constructing a multidimensional early warning model for screening high-risk cognitive impairment and an evaluation system thereof, which is suitable for screening and evaluation of high-risk cognitive impairment groups. Background technique [0002] According to the statistics of the World Health Organization, dementia has become the seventh leading cause of death in the world, and the trend of early onset is increasingly obvious. Since there is currently no effective drug for the treatment of dementia in the world, early detection and early prevention have become the consensus of researchers. Based on this, it is particularly important to find effective indicators for predicting cognitive impairment and accurately screen out high-risk groups for cognitive impairment. Early identification of high-risk groups of cognitive impairment in the comm...

AI Technical Summary

Problems solved by technology

However, most of the previous studies have high prediction accuracy but difficult to obtain indicators, which is not suitable for large-scale promotion, or easy to obtain indicators but low prediction accuracy.

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