-
公开(公告)号:US20140207386A1
公开(公告)日:2014-07-24
申请号:US13940182
申请日:2013-07-11
Inventor: Ho-Youl JUNG , Minho KIM , Myung-eun LIM , Jae Hun CHOI , Soo Jun PARK
IPC: G06F19/22
CPC classification number: G16B30/00
Abstract: Provided are a method of aligning a read sequence relative to a reference sequence using a seed and a read-sequence aligning apparatus using the same. The apparatus may include a seed generating unit producing seeds from read sequences, a representative seed selecting unit grouping the seeds into a plurality of seed clusters and selecting representative seeds from the plurality of seed clusters, a seed aligning unit aligning the representative seeds relative to a reference sequence, and a read-sequence aligning unit aligning the read sequences relative to the reference sequence, with reference to the alignment result of the representative seeds. The read sequence alignment may be performed using relationship between seeds, and thus, the sequencing may be performed with improved efficiency.
Abstract translation: 提供了使用种子和使用其的读取序列对准装置使读取序列相对于参考序列对准的方法。 该装置可以包括从读取序列产生种子的种子生成单元,将种子分组成多个种子群并从多个种子群中选择代表性种子的代表种子选择单元,将代表性种子相对于 参考序列,以及读取序列对齐单元,参考代表性种子的比对结果,相对于参考序列对准读取序列。 可以使用种子之间的关系来执行读取序列比对,因此,可以以提高的效率进行测序。
-
2.
公开(公告)号:US20170147753A1
公开(公告)日:2017-05-25
申请号:US15349703
申请日:2016-11-11
Inventor: Youngwoong HAN , Ho-Youl JUNG , Jae Hun CHOI , Minho KIM , YoungWon KIM , Myung-eun LIM , Dae Hee KIM , Seunghwan KIM
CPC classification number: G16H10/60 , G06F16/285 , G06F16/9535 , G06N5/022 , G06N20/00 , G16H50/50 , G16H50/70
Abstract: Provided are a search method and device in which, in order to search for health data having a multivariate (multi-dimensional) time-series characteristic with high calculation complexity for a search, a format of the health data is converted and a dimension of the health data is reduced through feature extraction to which a learning model is applied, so that the calculation complexity for the search may be remarkably reduced and the similar case search may be performed efficiently.
-
3.
公开(公告)号:US20150199476A1
公开(公告)日:2015-07-16
申请号:US14597052
申请日:2015-01-14
Inventor: Minho KIM , Dae Hee KIM , Myung-eun LIM , Ho-Youl JUNG
IPC: G06F19/22
Abstract: Provided is a method for analyzing a genome by a genome analyzing device. The method of analyzing a genome of the present invention includes: reading sequencing data of the genome from a storage device; selecting a position to be analyzed among positions corresponding to the sequencing data; and determining a base type at the selected position by using base types and quality values of bases corresponding to the selected position among the sequencing data.
Abstract translation: 提供了一种通过基因组分析装置分析基因组的方法。 分析本发明的基因组的方法包括:从存储装置读取基因组的测序数据; 在与排序数据相对应的位置中选择要分析的位置; 以及通过使用与所述排序数据中的所选择的位置相对应的碱基的碱基类型和质量值来确定所选位置处的碱基类型。
-
4.
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.
-
5.
公开(公告)号:US20140100789A1
公开(公告)日:2014-04-10
申请号:US14038456
申请日:2013-09-26
Inventor: Jae Hun CHOI , Minho KIM , Myung-eun LIM , Ho-Youl JUNG , Soo Jun PARK
IPC: G06F19/22
CPC classification number: G16B30/00
Abstract: Provided is a nucleic reads aligning method. More particularly, the present invention relates to a nucleic reads aligning method using a many-core process. A nucleic reads aligning device aligning a set of nucleic reads of a sequence to be analyzed with a reference sequence according to the present invention includes a main memory storing the reference sequence and the set of nucleic reads, a main processor splitting the reference sequence to produce first and second reference sequence fragments, and a many-core module aligning the set of nucleic reads with each of the first and second reference sequence fragments in parallel. The nucleic reads aligning device and method according to the present invention split a reference sequence and quickly align nucleic reads in a many-core environment.
Abstract translation: 提供核酸读取对准方法。 更具体地,本发明涉及使用多核方法的核读取对准方法。 核酸读取对准装置将待分析序列的一组核酸读取与根据本发明的参考序列对准,包括存储参考序列和该组核酸读取的主存储器,分割参考序列以产生 第一和第二参考序列片段,以及多核心模块,其将所述一组核酸读取与所述第一和第二参考序列片段中的每一个平行对准。 核心读取根据本发明的对准装置和方法分割参考序列并在多核环境中快速对准核读。
-
公开(公告)号:US20190180882A1
公开(公告)日:2019-06-13
申请号:US16031162
申请日:2018-07-10
Inventor: Youngwoong HAN , Hwin Dol PARK , Myung-eun LIM , Ho-Youl JUNG , Jae Hun CHOI
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.
-
7.
公开(公告)号:US20170147777A1
公开(公告)日:2017-05-25
申请号:US15353671
申请日:2016-11-16
Inventor: YoungWon KIM , Minho KIM , Jae Hun CHOI , Myung-eun LIM , Ho-Youl JUNG , Youngwoong HAN , Dae Hee KIM , Seunghwan KIM
Abstract: The inventive concept relates to a method and apparatus for predicting health data values through the generation of a health data pattern. The inventive concept provides a health data value prediction method and apparatus. The health data value prediction method and apparatus may select health data values and important health characteristics associated with the health data values from big data on a plurality of pieces of time-series health information. The health data value prediction method and apparatus may form a health data value prediction model that has repetitively learned the pattern, and accurately predict a user's health data value through the prediction model.
-
公开(公告)号:US20170147755A1
公开(公告)日:2017-05-25
申请号:US15360913
申请日:2016-11-23
Inventor: Myung-eun LIM , Jae Hun CHOI , Minho KIM , YoungWon KIM , Ho-Youl JUNG , Youngwoong HAN , Dae Hee KIM , Seunghwan KIM
CPC classification number: G16H10/60 , H04L63/08 , H04L63/083
Abstract: Provided are a personal cloud based personal health record management method and device for allowing users to dominantly manage personal health records, which are accumulated and managed by each of various health service institutions, through a personal health record management device and a personal cloud repository.
-
9.
公开(公告)号:US20220359082A1
公开(公告)日:2022-11-10
申请号:US17735320
申请日:2022-05-03
Inventor: Myung-eun LIM , Do Hyeun KIM , Jae Hun CHOI
Abstract: Disclosed is an operation method of a health state prediction system which includes an ensemble prediction model. The operation method includes sending a prediction result request for health time-series data to a plurality of external medical support systems, receiving a plurality of external prediction results associated with the health time-series data from the plurality of external medical support systems, generating long-term time-series data and short-term time-series data for each of the health time-series data, and the plurality of external prediction results, extracting a plurality of long-term trends based on the long-term time-series data, extracting a plurality of short-term trends based on the short-term time-series data, calculating external prediction goodness-of-fit based on the plurality of long-term trends and the plurality of short-term trends, and generating an ensemble prediction result based on the external prediction goodness-of-fit and the plurality of external prediction results.
-
10.
公开(公告)号:US20210174229A1
公开(公告)日:2021-06-10
申请号:US17115373
申请日:2020-12-08
Inventor: Myung-eun LIM , Do Hyeun KIM , Jae Hun CHOI
Abstract: Disclosed is a device which includes a data manager, a learner, and a predictor. The data manager generates output data based on time-series data, receives device prediction results corresponding to the output data from the prediction devices, and calculates device errors based on the difference between device prediction results and time-series data. The learner may adjust a parameter group of a prediction model for generating device weights, based on device prediction results and device errors. The predictor generates the ensemble result of first and second device prediction results based on device weights.
-
-
-
-
-
-
-
-
-