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    APPARATUS AND METHOD FOR EXPLORING OPTIMIZED TREATMENT PATHWAY THROUGH MODEL-BASED REINFORCEMENT LEARNING BASED ON SIMILAR EPISODE SAMPLING
    23.
    发明公开
    APPARATUS AND METHOD FOR EXPLORING OPTIMIZED TREATMENT PATHWAY THROUGH MODEL-BASED REINFORCEMENT LEARNING BASED ON SIMILAR EPISODE SAMPLING 审中-公开

    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.

    TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF
    25.
    发明申请
    TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF 有权

    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.

    IMAGE PROCESSING DEVICE AND CALCIFICATION ANALYSIS SYSTEM INCLUDING THE SAME
    26.
    发明申请
    IMAGE PROCESSING DEVICE AND CALCIFICATION ANALYSIS SYSTEM INCLUDING THE SAME 有权

    公开(公告)号：US20210174498A1

    公开(公告)日：2021-06-10

    申请号：US16950573

    申请日：2020-11-17

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Ho-Youl JUNG ,  Jae Hun CHOI

    IPC: G06T7/00 ,  A61B6/03 ,  A61B6/00 ,  G06N3/04 ,  G06N3/08

    Abstract: The image processing device includes a voxel extractor, a learner, and a predictor. The voxel extractor extracts a target voxel and neighboring voxels adjacent to the target voxel from a 3D image. The learner generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates vector weights corresponding to each of the vectors, based on the vectors and a parameter group, and adjusts the parameter group, based on an analysis result of the target voxel generated by applying the vector weights to the vectors. The predictor generates vectors corresponding to the target voxel and the neighboring voxels, respectively, generates correlation weights among the vectors by applying a parameter group to the vectors, generates vector weights corresponding to each of the vectors by applying the correlation weights to the vectors, and generates an analysis result of the target voxel by applying the vector weights to the vectors.

    DEVICE AND METHOD OF PROCESSING MULTI-DIMENSIONAL TIME SERIES MEDICAL DATA
    27.
    发明申请
    DEVICE AND METHOD OF PROCESSING MULTI-DIMENSIONAL TIME SERIES MEDICAL DATA 审中-公开

    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.

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