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Machine learning device, learned model, data structure, periodontal disease inspection method, periodontal disease inspection system, and periodontal disease inspection kit

机译:机器学习设备,学习模型,数据结构,牙周疾病检查方法,牙周疾病检查系统和牙周疾病检查套件

摘要

A machine learning device for learning a probability of periodontal disease or a function for judging a state of periodontal disease, wherein intraoral information detected from a sample and a periodontal disease probability of a provider of the sample are provided. Or at least one judgment value selected from the group consisting of periodontal disease states; and a learning unit for learning the function for determining the judgment value, based on a plurality of learning data, the learning unit comprising: Based on the learning data, a reward calculating unit that calculates the probability of periodontal disease or the result of determining the state of periodontal disease using the function, a reward calculated by the reward calculating unit, Machine learning including a function updating unit that updates the function so as to be higher, and a convergence determining unit that repeats the calculation by the reward calculating unit and the updating by the function updating unit until a predetermined convergence condition is satisfied. apparatus.
机译:一种用于学习牙周疾病的概率或判断牙周疾病的状态的功能的机器学习设备,其中提供了从样本中检测到的口腔内信息和样本提供者的牙周疾病的概率。或至少一种选自牙周疾病状态的判断值;所述学习单元基于多个学习数据而学习用于确定所述判断值的功能,所述学习单元包括:基于所述学习数据,计算出牙周疾病的概率或确定所述牙周疾病的结果的奖赏计算单元。使用该功能的牙周疾病的状态,由奖励计算单元计算的奖励,机器学习,其包括将功能更新为更高的功能更新单元,以及收敛确定单元,其重复由奖励计算单元和由功能更新单元进行更新直到满足预定收敛条件为止。仪器。

著录项

  • 公开/公告号JPWO2018159712A1

    专利类型

  • 公开/公告日2019-12-12

    原文格式PDF

  • 申请/专利权人 三井化学株式会社;

    申请/专利号JP20190503084

  • 发明设计人 谷口 誠;

    申请日2018-02-28

  • 分类号C12M1;C12Q1/02;C12Q1/689;C12Q1/6869;G06N20;G06N3/02;C12Q1/6893;

  • 国家 JP

  • 入库时间 2022-08-21 11:35:47

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