公开(公告)号：US20190221294A1

公开(公告)日：2019-07-18

申请号：US16213740

申请日：2018-12-07

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Ho-Youl JUNG ,  Hwin Dol PARK ,  Myung-Eun LIM ,  Jae Hun CHOI ,  Youngwoong HAN

IPC: G16H10/60 ,  G16H50/20

CPC classification number: G16H10/60 ,  G16H50/20

Abstract: The inventive concept relates to a multi-dimensional time series data processing device, a health prediction system including the same, and a method of operating the time series data processing device. A time series data processing device according to an embodiment of the inventive concept includes a network interface, a data generator, a predictor, and a processor. The network interface receives the first time series data having the first type. The data generator generates second time series data having a second type based on the first time series data. The predictor generates prediction data based on the first time series data and the second time series data.

公开(公告)号：US20240221940A1

公开(公告)日：2024-07-04

申请号：US18345709

申请日：2023-06-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Do Hyeun KIM ,  Hwin Dol PARK ,  Jae Hun CHOI

IPC: G16H50/20 ,  G16H10/60

CPC classification number: G16H50/20 ,  G16H10/60

Abstract: Disclosed is an apparatus for exploring an optimized treatment pathway of a target patient, which includes an episode sampling module that receives a virtual electronic medical record (EMR) episode, calculates a similarity between a first current state of the target patient, which corresponds to the received virtual EMR episode, and a second current state of a patient, which corresponds to each of a plurality of EMR episodes, extracts an EMR episode, and outputs a pair of the virtual EMR episode and the extracted EMR episode, a state value evaluation module that predicts an expected value of a reward, a treatment method learning module that predicts an optimized treatment method and optimized timing of treatment and provides an external prediction model with the current state of the target patient and the treatment method, and a virtual episode generation module that generates a new virtual EMR episode.

公开(公告)号：US20220170900A1

公开(公告)日：2022-06-02

申请号：US17401449

申请日：2021-08-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jae Hun CHOI ,  Hwin Dol PARK ,  Chang-Geun AHN ,  Do Hyeun KIM ,  Seunghwan KIM ,  Hyung Wook NOH ,  YongWon JANG ,  Kwang Hyo CHUNG

IPC: G01N33/00 ,  G06N20/20

Abstract: Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.

公开(公告)号：US20210182708A1

公开(公告)日：2021-06-17

申请号：US17116767

申请日：2020-12-09

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hwin Dol PARK ,  Jae Hun CHOI ,  Youngwoong HAN

IPC: G06N5/04 ,  G06N20/00

Abstract: Disclosed are a time series data processing device and an operating method thereof. The time series data processing device includes a preprocessor, a learner, and a predictor. The preprocessor generates preprocessed data and interval data. The learner may adjust a feature weight, a time series weight, and a weight group of a feature distribution model for generating a prediction distribution, based on the interval data and the preprocessed data. The predictor may generate a feature weight, based on the interval data and the preprocessed data, may generate a time series weight, based on the feature weight and the interval data, and may calculate a prediction result and a reliability of the prediction result, based on the time series weight.

公开(公告)号：US20190180882A1

公开(公告)日：2019-06-13

申请号：US16031162

申请日：2018-07-10

Applicant: Electronics and Telecommunications Research Institute

Inventor： Youngwoong HAN ,  Hwin Dol PARK ,  Myung-eun LIM ,  Ho-Youl JUNG ,  Jae Hun CHOI

IPC: G16H50/50 ,  G06N99/00

Abstract: Provided are a device and method for processing multi-dimensional time series medical data. The device for processing multi-dimensional time series medical data according to an embodiment of the present invention includes a network interface, a preprocessing unit, a data analysis unit, and a processor. The network interface may receive time series medical data including first visit data corresponding to the first time and second visit data corresponding to the second time before the first time. The preprocessing unit preprocesses the time series medical data to generate the modeling data. The preprocessing unit is configured to preprocess the first visit data based on a difference between the first time and the second time. The data analysis unit may generate a time series analysis model for predicting future visit data from the modeling data.