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DISEASE ONSET PREDICTION DEVICE, DISEASE ONSET PREDICTION METHOD AND PROGRAM

机译:疾病发作预测装置,疾病发作预测方法和程序

摘要

To provide a disease onset prediction device, a disease onset prediction method and a program capable of accurately predicting an onset of a specific disease in advance.SOLUTION: An alert system 1 is provided with a sample extraction part 13 and a prediction model construction part 14. The sample extraction part 13 extracts, when onset information shows that a disease is developed, biological data to be a positive sample from biological data from before a reference period of an onset point of time when the disease is developed to the onset point of time among the biological data for constructing a prediction model, and extracts biological data to be a negative sample from biological data before the reference period at the onset point of time. The prediction model construction part 14 constructs the prediction model by using the positive sample as training data for developing the disease in the reference period, and using the negative sample as training data for developing no disease in the reference period.SELECTED DRAWING: Figure 2
机译:为了提供一种疾病发作预测装置,疾病发作预测方法和程序,能够预先准确地预测特定疾病的发作。解决方案:警报系统1包括样本提取部13和预测模型构建部14。样本提取部13在发病信息表示发生疾病的情况下,从疾病发生的发病时间的基准时期之前的生物学数据到发病时间的生物学数据,提取作为阳性样本的生物学数据。在用于构建预测模型的生物学数据中,从参考时间之前的生物学数据中提取出作为阴性样本的生物学数据。预测模型构建部分14通过使用正样本作为参考周期内疾病发展的训练数据,并使用负样本作为参考周期内疾病没有发展的训练数据,来构建预测模型。

著录项

  • 公开/公告号JP2019016235A

    专利类型

  • 公开/公告日2019-01-31

    原文格式PDF

  • 申请/专利权人 NTT DATA CORP;

    申请/专利号JP20170134050

  • 发明设计人 DARIA BOUNOU;OKADA TAKASHI;YANO JUNKO;

    申请日2017-07-07

  • 分类号G06Q50/22;A61B5;

  • 国家 JP

  • 入库时间 2022-08-21 12:21:13

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