一种筛查认知障碍高风险的多维预警模型构建方法及其评估系统

• Format: Patent
• Language: Chinese
• Published: 14.10.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

本发明公开了一种筛查认知障碍高风险的多维预警模型构建方法及其评估系统，制定入组标准并在社区对受试者信息采集；采集基本资料和血尿指标，并进行神经心理测验，记录并存储数据；初步筛选出在认知障碍高风险组和正常组有显著性差异的数据指标，并将其作为有效风险预测指标；采用多因素逻辑回归方法，分别建立三种预警模型，并绘制对应预警模型的受试者工作特性曲线，选择最佳的预警模型阈值参数，计算对应预警模型的预测效果；构建内嵌移动终端或计算机的多维认知障碍高风险筛查系统，根据受试者输入的数据信息，系统自动分析并计算得出风险分数，输出风险等级和具体健康建议。本发明结合受试者自身情况，给予多种选择，敏感精准性由低到高。 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,