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Dementia prediction device, prediction model generation device, and dementia prediction program

机译:痴呆症预测装置,预测模型生成装置和痴呆症预测程序

摘要

The present invention comprises: a relational index computation part 100A which extracts n words from m phrases which represent the content of free conversations of m patients, the severity of the cognitive impairments of whom is known, and computes a relational index representing the relation between the m phrases and the n words; a prediction model generation part 14A which generates a prediction model for predicting cognitive impairment severity on the basis of a phrase index group formed from n relational indices for a single phrase; and a cognitive impairment prediction part 21A which applies to the prediction model the relational index computed by the relational index computation part 100A from a phrase input through a prediction data input part 20 so as to predict the cognitive impairment severity of a patient from the phrase pertaining to the prediction. According to this configuration, cognitive impairment severity can be predicted without carrying out a Mini Mental State Examination.
机译:本发明包括:关系指数计算部分100A,该关系指数计算部分100A从m个短语中提取n个词,该m个短语表示m个患者的认知障碍的严重程度已知的m个患者的自由对话的内容,并且计算代表该词之间的关系的关系索引。 m个短语和n个单词;预测模型生成部14A基于由单个短语的n个相关指标构成的短语索引组,生成用于预测认知障碍严重度的预测模型;认知障碍预测部21A将由相关指数计算部100A根据从预测数据输入部20输入的短语所计算出的关系指数应用于预测模型,从而根据与该短语相关的短语来预测患者的认知障碍严重度。对预测。根据这种配置,无需进行迷你心理状态检查就可以预测认知障碍的严重程度。

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