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Prognosis prediction system, prognosis prediction program creation device, prognosis prediction device, prognosis prediction method and prognosis prediction program

机译:预后预测系统,预后预测程序创建装置,预后预测装置,预后预测方法和预后预测程序

摘要

PROBLEM TO BE SOLVED: To predict a prognostic event caused by medication in a patient receiving medication with high accuracy. SOLUTION: In a prognosis prediction system 10, a prognosis prediction program creating device 14 obtains a plurality of targets of time-series data of examinations of a subject who has been administered a medication to be evaluated and information on events that have occurred in the subject. Machine learning is performed on the learning data including the learning database 24 that stores the person, the time-series data of the inspection for each subject, and the event that occurred in the subject, and the event is input to the input of the time-series data of the inspection. A machine learning unit 18 for creating a learned program that outputs the result of occurrence prediction is provided. The prognosis prediction device 16 includes an input unit 32 for inputting time-series data of the examination of the analysis target person to whom the medication to be evaluated has been administered, a learned program 134 created by the machine learning unit, and an analysis target input to the input unit. It is provided with a prediction unit 30 that predicts the occurrence of an event of the analysis target person based on the data of the person. [Selection diagram] Fig. 1
机译:要解决的问题:高精度地预测由用药引起的患者的预后事件。解决方案:在预后预测系统10中,预后预测程序创建设备14获得多个对象的时间序列数据目标,这些时间序列数据是对被评估药物的对象进行检查的时间序列数据以及该对象中已发生事件的信息。对学习数据进行机器学习,该学习数据包括存储人的学习数据库24,每个对象的检查时间序列数据以及对象中发生的事件,并且该事件被输入到时间输入中检验的系列数据。提供了用于创建输出发生预测结果的学习程序的机器学习单元18。预后预测装置16包括:输入单元32,用于输入对被管理了评价对象药物的分析对象者的检查的时间序列数据;由机器学习单元生成的学习程序134;以及分析对象输入到输入单元。设置有预测单元30,该预测单元30基于人的数据来预测分析对象人的事件的发生。 [选择图]图1

著录项

  • 公开/公告号JP2020144471A

    专利类型

  • 公开/公告日2020-09-10

    原文格式PDF

  • 申请/专利权人 学校法人東海大学;

    申请/专利号JP20190038948

  • 发明设计人 後藤 信哉;後藤 信一;

    申请日2019-03-04

  • 分类号G16H50/70;G01N33/48;G06N20;G06Q10/04;

  • 国家 JP

  • 入库时间 2022-08-21 11:36:36

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