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:
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.
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.
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:
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.
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.
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.