Abstract:
Provided is a device for ensembling data received from prediction devices and a method of operating the same. The device includes a data manager, a learner, and a predictor. The data manager receives first and second device prediction results from first and second prediction devices, respectively. The learner may adjust a weight group of a prediction model for generating first and second item weights, first and second device weights, based on the first and second device prediction results. The first and second item weights depend on first and second item values, respectively, of the first and second device prediction results. The first device weight corresponds to the first prediction device, and the second device weight corresponds to the second prediction device. The predictor generates an ensemble result of the first and second device prediction results, based on the first and second item weights and the first and second device weights.
Abstract:
Disclosed herein is an open healthcare apparatus and method in which a user personally performs integrated management of health records including data concerning western medicine, oriental medicine, life logs, etc. health-related big data is built by receiving health information, from which personal information is deleted, under the agreement of the user, and customized health service is provided by various service providers based on the health-related big data. The disclosed apparatus includes a personal cloud repository for storing personal health data, a health-related big data repository for storing public and personal health data on a health case basis, a healthcare platform for storing and analyzing personal health data and for relaying and managing a customized service, and an analysis platform for analyzing user's health based on the information of the health-related big data repository and for providing customized service depending on the analysis result.
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.
Abstract:
Disclosed herein is a gait monitoring apparatus and method. The gate monitoring apparatus includes a preprocessing unit for receiving data from a gait detection sensor and preprocessing the data. A swing detection unit detects, based on the data output from the preprocessing unit, whether a current gait phase is a swing phase in which a foot of a pedestrian is lifted from ground and swings in air when the foot moves forwards. A stance detection unit detects, based on the output data, whether a current gait phase is a stance phase in which the foot is in contact with the ground. A heel-strike detection unit detects, based on the output data, whether a current gait phase is a heel-strike phase in which the heel of the pedestrian strikes ground. A control unit determines the current gait phase, analyzes the gait of the pedestrian, and outputs gait analysis information.
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.
Abstract:
Disclosed herein are an apparatus and method for providing a customized personal health service based on personal health information. The apparatus includes a health information input unit for receiving individual health information, a similar case search unit for calculating weights of the health information for respective features and calculating similarities based on the weights, thus searching for similar cases, a health pattern analysis and future health prediction unit for analyzing patterns of found similar cases and predicting a health pattern of the corresponding individual, a healthcare planning unit for designing individual customized healthcare plans based on the predicted health pattern for the corresponding individual, and a healthcare knowledge base including a knowledge map required for calculation of the weights of the health information for respective features and a knowledge map required for the analysis and prediction of patterns.
Abstract:
An apparatus and method for counting alleles are disclosed herein. The apparatus for counting alleles includes a file input unit and a counting unit. The file input unit receives one or more files including human genome data. The counting unit reads the files on a predetermined window size basis by means of parallel reading using multi-threading based on the position information of the files, performs allele counting, and merges the results of the counting.
Abstract:
Disclosed are a method and an apparatus for detecting a translocation. The apparatus acquires BAM for a first pair of chromosomes and a second pair of chromosomes. Also, the apparatus detects a translocation generated in at least one chromosome by selecting at least one translocation case corresponding to the translocation information produced on the basis of BAM from among multiple translocation cases in which a translocation may be generated in at least one of the first and the second chromosomes.
Abstract:
The present invention relates to a method for calculating inter-chromosomal translocation position by using sequence read data generated through a next generation sequencing (NGS) apparatus. According to the present invention, the inter-chromosomal translocation position is determined more precisely and efficiently in base units.