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1.发明申请公开(公告)号：US20180150609A1
公开(公告)日：2018-05-31
申请号：US15812540
申请日：2017-11-14
Inventor： Minho KIM , YoungWon KIM , Donghun LEE , Jae Hun CHOI , Dae Hee KIM , Myung-eun LIM , Ho-Youl JUNG , Youngwoong HAN , Seunghwan KIM
CPC classification number: G16H50/20 , G06N3/04 , G06N5/048 , G06N20/00 , G16H10/60 , G16H50/50 , Y02A90/26
Abstract: The present disclosure herein relates to a future health trend forecasting system and a method thereof through a similar case cluster-based prediction model, and more specifically, to a server and a method thereof for extracting multiple associated feature similar case clusters that match a prediction query for the user's health information through a class prediction model and a future value prediction model for health features of a similar case cluster generated by cyclically clustering the target feature that is a health feature for personal health information and an associated feature of the target feature, predicting future health trends for each associated feature using multiple prediction models based on corresponding similar case clusters, and combining and outputting the prediction results.
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公开(公告)号：US20230134583A1
公开(公告)日：2023-05-04
申请号：US17964597
申请日：2022-10-12
Inventor： Tae Jung KIM , Donghun LEE , Jeehyeon NA , Jung Mo MOON
Abstract: A method for load balancing in a base station is provided. The base station updates a traffic amount of a current time by reflecting a predicted traffic amount of a future time in the traffic amount of the current time, and determines parameters necessary for load balancing of the base station by comparing the updated traffic amount of the current time with a predetermined threshold.
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Patent Agency Ranking
3.发明申请公开(公告)号：US20180150608A1
公开(公告)日：2018-05-31
申请号：US15808476
申请日：2017-11-09
Inventor： Dae Hee KIM , Minho KIM , YoungWon KIM , Donghun LEE , Myung-eun LIM , Ho-Youl JUNG , Jae Hun CHOI , Youngwoong HAN
CPC classification number: G16H50/20 , G06N20/00 , G16B5/00 , G16B20/00 , G16B40/00 , G16H40/67 , G16H50/50 , G16H50/70
Abstract: Provided are a device and method for diagnosing cardiovascular disease for providing rapid and accurate treatment and prescription for cardiovascular disease by accurately performing a diagnosis of cardiovascular disease for a particular user using the user's personal health checkup data and genome information measured periodically and the target gene of cardiovascular disease.
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4.发明申请公开(公告)号：US20170357760A1
公开(公告)日：2017-12-14
申请号：US15365834
申请日：2016-11-30
Inventor： Youngwoong HAN , Jae Hun CHOI , YoungWon KIM , Minho KIM , Myung-eun LIM , Ho-Youl JUNG , Donghun LEE , Dae Hee KIM
Abstract: Provided are a clinical decision supporting ensemble system and method. Clinical prediction results for a patient obtained through machine learning and received from a plurality of external medical institutions are integrated to perform an ensemble prediction, so that not only a current condition of the patient but also a future process of an illness of the patient is predicted to assist a medical person in making a quick and correct medical decision.
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公开(公告)号：US20210019644A1
公开(公告)日：2021-01-21
申请号：US16929975
申请日：2020-07-15
Inventor： Hyunseok KIM , Myung Eun KIM , Seonghyun KIM , Young Sung SON , Jongkwon SON , Soonyong SONG , Donghun LEE , Ingook JANG , Jin Chul CHOI
Abstract: A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.
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公开(公告)号：US20210019640A1
公开(公告)日：2021-01-21
申请号：US16922310
申请日：2020-07-07
Inventor： Myung Eun KIM , Seonghyun KIM , Hyunseok KIM , Young Sung SON , Jongkwon SON , Soonyong SONG , Donghun LEE , Ingook JANG , Jin Chul CHOI
Abstract: An apparatus and method for abnormal situation detection are disclosed. An abnormal situation detection apparatus can map first sensor data among sensor data transmitted from a plurality of sensors into a vector value, convert it into first situation information in the form of an image pattern, and generate a learning model using the first situation information and an abnormal situation reference range. In addition, the abnormal situation detection apparatus can convert second sensor data among sensor data transmitted from a plurality of sensors into a form that can be input to the learning model, and determine whether an abnormal situation occurs by applying the converted second data to the learning model.
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公开(公告)号：US20180151254A1
公开(公告)日：2018-05-31
申请号：US15828180
申请日：2017-11-30
Inventor： Youngwoong HAN , Ho-Youl JUNG , Jae Hun CHOI , Dae Hee KIM , Minho KIM , Seunghwan KIM , YoungWon KIM , Donghun LEE , Myung-Eun LIM
CPC classification number: G16H10/60 , G06F16/2465 , G06F16/283 , G06F2216/03 , G06K9/6218 , G06K9/6232 , G06K9/6247 , G06K9/6271 , G06N3/08 , G06N20/00 , G16H50/20 , G16H50/70
Abstract: 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.
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