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Periodontal disease inspection method, periodontal disease inspection system, periodontal disease inspection kit, machine learning device, and data structure

机译:牙周病检测方法,牙周病检测系统,牙周病检测套件,机器学习装置和数据结构

摘要

Problem to be solved: to provide a new machine learning device for the examination of periodontal disease.The machine learning device 100 includesFisifactor alocis detected from specimens collected from the oral cavityVeillonella atypicaCatonella spPeptococcus sp.Dialister invisusAbiotrophia defectivaLachnoanaerobaculum umeaensePrevotella pallensPrevotella histicolaGranulicatella elegansOral information of at least one fungus selected from the group consisting of Haemophilus paraphrohaemolyticus;At least one judgment value selected from the group consisting of the probability of periodontal disease or the condition of periodontal disease of the donor of the analyte;Based on multiple learning data consisting ofThe learning section 40 includes the learning section 40 for learning the function of determining the determination value.Diagram
机译:要解决的问题:为检查牙周病检查的新机器学习装置。机器学习装置100包括从口腔腔内腔内的样品检测到的偏见者胰岛氏菌类缺失的缺失性血清症缺陷症ACANARobaculum UMEAENTERPOOTLA PALLENSPREVOTELLA HISISOLAGRANULICALLABLEALPREVOTELLALIVALERALERALERALERALERALPHERELLA的缺陷 选自血液霉菌的菌丝中的菌株;至少一种选自牙周病的概率或分析物供体的概要的判断值;基于由学习部分40组成的多个学习数据包括 用于学习确定确定值的功能的学习部分40

著录项

  • 公开/公告号JP2021129531A

    专利类型

  • 公开/公告日2021-09-09

    原文格式PDF

  • 申请/专利权人 三井化学株式会社;

    申请/专利号JP20200027468

  • 发明设计人 向田 志保;的石 かおり;

    申请日2020-02-20

  • 分类号C12Q1/04;G06N20;C12Q1/6844;

  • 国家 JP

  • 入库时间 2022-08-24 20:58:05

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