首页> 外国专利> HIGH-SPEED SIMILAR CASE SEARCH METHOD AND DEVICE THROUGH REDUCTION OF LARGE SCALE MULTI-DIMENSIONAL TIME SERIES HEALTH DATA TO MULTIPLE DIMENSIONS

HIGH-SPEED SIMILAR CASE SEARCH METHOD AND DEVICE THROUGH REDUCTION OF LARGE SCALE MULTI-DIMENSIONAL TIME SERIES HEALTH DATA TO MULTIPLE DIMENSIONS

机译：高速相似案例搜索方法及通过将大型多维时间序列健康数据缩减为多维的设备

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摘要

Provided are a search method and device for searching for a case similar to user's health data at high-speed from large scale multi-dimensional time series health data. The method includes preprocessing health data inputted through an interface circuit, performing a multi-dimensional feature extraction learning based on machine learning on the preprocessed health data, and generating one or more feature extraction models for dimension reduction based on the multi-dimensional feature extraction learning.

机译：提供一种用于从大规模的多维时间序列健康数据中高速搜索与用户的健康数据类似的病例的搜索方法和装置。该方法包括：预处理通过接口电路输入的健康数据;对预处理的健康数据执行基于机器学习的多维特征提取学习;以及基于多维特征提取学习生成用于降维的一个或多个特征提取模型。。

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公开/公告号US2018151254A1

专利类型
公开/公告日2018-05-31

原文格式PDF
申请/专利权人 ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE;
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申请/专利号US201715828180
发明设计人 YOUNGWOONG HAN;HO-YOUL JUNG;JAE HUN CHOI;DAE HEE KIM;MINHO KIM;SEUNGHWAN KIM;YOUNGWON KIM;DONGHUN LEE;MYUNG-EUN LIM;
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申请日2017-11-30
分类号G16H10/60;G16H50/20;G06F15/18;G06F17/30;G06K9/62;
国家 US
入库时间 2022-08-21 13:02:17

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