首页> 外国专利> SYSTEM AND METHOD FOR PREDICTING FUTURE HEALTH TRENDS THROUGH PREDICTION MODELS BASED ON SIMILAR CASE CLUSTERING

SYSTEM AND METHOD FOR PREDICTING FUTURE HEALTH TRENDS THROUGH PREDICTION MODELS BASED ON SIMILAR CASE CLUSTERING

机译:基于相似案例聚类的预测模型预测未来健康趋势的系统和方法

摘要

The present invention relates to a system for predicting a future health trend through a predication model based on a similar case cluster and a method thereof, and more particularly, to a system for predicting a future health trend and a method thereof, capable of extracting a multiple association feature similar case cluster matched to a prediction query for the health information of a user through a future value prediction model and a class prediction model for a health characteristic of the similar case cluster generated by circularly clustering a target feature that is a health characteristic for personal health information and association features of the target feature, predicting the future health trend for each association feature using a multi-prediction model based on the corresponding similar case cluster, and outputting a prediction result by performing the ensembling of the prediction result. Accordingly, the present invention can simplify the configuration of the system for predicting a future health trend and quickly and reliably provide the prediction result to the user.
机译:本发明涉及一种基于相似病例群的通过预测模型预测未来健康趋势的系统及其方法,更具体地,涉及一种能够提取疾病的未来健康趋势的系统及其方法。通过将来值预测模型和针对类似病例群集的健康特征的类别预测模型对用户的健康信息进行预测查询来匹配多个关联特征相似病例群集,该预测模型是通过对作为健康特征的目标特征进行循环聚类而生成的对于个人健康信息和目标特征的关联特征,使用基于相应相似病例群的多重预测模型预测每个关联特征的未来健康趋势,并通过对预测结果进行汇总来输出预测结果。因此,本发明可以简化用于预测未来健康趋势的系统的配置,并且快速且可靠地将预测结果提供给用户。

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