Abstract: The present disclosure processes a user's medical data for each year to be input to a machine learning device for predicting dementia, and a data set composed of optimal features is constructed. The optimal features include at least information on the user's disease history, and the user's medical information for each year in the last 7 years or less. Precise prediction and diagnosis of dementia may be made by constructing the optimal features identified through experiments in the user's medical data for each year. Since the experimental results show that the prediction results of observing a disease history of 7 years or less may be the best, rather than observing medical information for a long period of time, the appropriate criteria may be suggested for predicting dementia.

Abstract: The present invention relates to a method and system for constructing a database for a product demand/supply connection network of a technology market connection and analysis apparatus comprising a microprocessor for controlling the construction of a database for implementing a product demand/supply connection network, and further comprising the database for a product demand/supply connection network, in which information relating to the database generated in accordance with the control of the microprocessor is stored.

Abstract: A system for a product demand/supply connection network service based on tariff-harmonized commodity description codes, and a method for the same are provided. The method comprises: receiving a list of commodities based on tariff-harmonized commodity description codes from a trade information providing device via a communication network; classifying the received list of commodities into datasets on the basis of HS codes; generating the commodity list classified into the datasets as a hierarchical structure of a forward-oriented or reverse-oriented demand/supply connection network; and providing trade volume information of import and export related products, providing chemical abstract service (CAS) numbers, technical patent numbers, and product restriction information, or providing a list of commodities for each trade partner and each trade region on the basis of the hierarchical structure of the forward-oriented or reverse-oriented demand/supply connection network.

Abstract: The present invention relates to a method and system for providing a service for analyzing a technology market which, after analyzing the technology market by matching information for technology market analysis, such as patent information and trade information, chemistry information and manufacturing company information, with HS codes, and using a connection network for product supply and demand constructed in a hierarchical structure of a front-oriented supply and demand connection network or a rear-oriented supply and demand network, provides the traded state of corresponding products for each individual extension step, the traded state between a trade target and the corresponding products and uses defined for each area, the traded state of the products and uses corresponding to CAS numbers, and the analysis state of associated technology patents.

Abstract: The present invention relates to a method and system for constructing a database for a product demand/supply connection network of a technology market connection and analysis apparatus comprising a microprocessor for controlling the construction of a database for implementing a product demand/supply connection network, and further comprising the database for a product demand/supply connection network, in which information relating to the database generated in accordance with the control of the microprocessor is stored.

Abstract: The present invention relates to an information analysis system comprising: a summary table creation unit for analyzing an input file if the file is inputted, extracting a field list corresponding to the field list information stored in a provided database, and creating a summary table including the extracted field list; a preprocessing module for performing a preprocess including at least one of field refinement, group creation, and sub-data set creation, for fields of the summary table created by the summary table creation unit; a matrix creation unit for creating a matrix based on matrix setting information inputted by a user, for the fields created by the summary table creation unit or the preprocessing module; a cluster analysis unit for analyzing a cluster of corresponding fields according to a cluster analysis method inputted by the user, for fields selected by the user among the fields created by the summary table creation unit or the preprocessing module; and a visualization data creation unit for cr