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Alzheimer's disease survival analyzer, Alzheimer's disease survival analysis program and Alzheimer's disease survival analysis method

机译:阿尔茨海默氏病生存分析仪,阿尔茨海默氏病生存分析程序和阿尔茨海默氏病生存分析方法

摘要

PROBLEM TO BE SOLVED: To estimate the probability of whether or not a subject will transition to Alzheimer's disease after several years. SOLUTION: This is an Alzheimer's disease survival analyzer for performing a survival analysis process for predicting the transition probability of a subject to Alzheimer's disease, and the gray matter in the subject's brain based on the gray matter volume map data acquisition means. Based on the gray-white volume map data acquisition unit 11 that acquires volume map data and the gray-white volume map data, each region shows the gray-white volume in each region when the subject's brain structure is divided into a plurality of predetermined regions. We learned in advance about the region-specific gray-white volume data generation unit 12 that generates gray-white volume data and the output of the transition probability of the subject to Alzheimer's disease using at least the gray-white volume data for each region of a plurality of regions as input parameters. Based on the trained model, it includes a transition probability output unit 13 that inputs at least gray mass data for each region of a plurality of regions of the subject and outputs the transition probability of the subject to Alzheimer's disease. [Selection diagram] Fig. 1
机译:要解决的问题:估计几年后受试者是否会转变为阿尔茨海默氏病的概率。解决方案:这是一个阿尔茨海默氏病生存分析仪,用于执行生存分析过程,以根据灰质体积图数据获取手段预测对象向阿尔茨海默氏病以及大脑中灰质的转变概率。基于获取体图数据和灰白色体图数据的灰白色体图数据获取单元11,当将对象的大脑结构划分为多个预定区域时,每个区域示出每个区域中的灰白色体。 。我们预先了解了特定于区域的灰白色体积数据生成单元12,该区域生成灰白色体积数据以及至少针对每个区域的灰白色体积数据使用灰白色体积数据来生成对象向阿尔茨海默氏病的转变概率的输出。多个区域作为输入参数。基于训练后的模型,其包括转变概率输出单元13,该转变概率输出单元13至少输入对象的多个区域中的每个区域的灰度质量数据,并输出对象向阿尔茨海默氏病的转变概率。 [选择图]图1

著录项

  • 公开/公告号JP2020150989A

    专利类型

  • 公开/公告日2020-09-24

    原文格式PDF

  • 申请/专利权人 株式会社ERISA;

    申请/专利号JP20190049374

  • 发明设计人 小野田 慶一;石田 学;

    申请日2019-03-18

  • 分类号A61B5/055;

  • 国家 JP

  • 入库时间 2022-08-21 11:37:22

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