Abstract: A monetary risk prediction apparatus according to an embodiment includes: a predictive model recording unit that records a predictive model to predict time-series data showing a future asset amount of a user; and prediction means for receiving evaluation data that is time-series data including an asset amount and a numeric value showing a health condition of the user, inputting the evaluation data to the predictive model recorded on the predictive model recording unit, and outputting the time-series data showing the future asset amount of the user predicted by the predictive model according to the input.

Abstract: A data processing device that makes effective use of a data group containing missing data is provided. A series of learning data containing missing data is acquired, and a representative value of data and a validity ratio representing a proportion of valid data being present are calculated from the series of learning data according to a predefined unit of aggregation. Then, learning of an estimation model is performed so as to minimize an error which is based on a difference between an output resulting from inputting the representative value and the validity ratio to the estimation model, and the representative value. Also, a series of estimation data containing missing data is acquired, and a representative value of data and a validity ratio representing a proportion of valid data being present are calculated from the series of estimation data according to a predefined unit of aggregation.

Abstract: A data processing apparatus according to a first aspect of the present invention includes: a first generation section that generates first input data in which first data related to a first phenomenon and second data related to a second phenomenon that is relevant to the first phenomenon are combined with first auxiliary data that is based on a missing data status in at least one of the first data and the second data; and a learning section that learns a model parameter of a prediction model, based on an error according to the first auxiliary data between output data outputted from the prediction model when the first input data is inputted into the prediction model, and each of the first data and the second data.

Abstract: An object of an aspect of the present invention is to enable estimation of more effective intervention content in order to make a person's health state approximate to an ideal health state, and in a learning phase, measurement values and target values of a health state for a plurality of days in the past are sequentially input to a learning machine configured by a multilayer neural network, and the learning machine is caused to perform learning such that a target achievement expectation value obtained by using a success rate that allows the user's health state to approximate to an ideal health state, continuity that allows the health state approximate to the ideal health state to be maintained, and a target value of the health state to be subsequently recommended and the target achievement expectation value thereof that reflect a temporal change in the health state and a history of interventions until a present time are output.

Abstract: The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection part 1 stores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value.

Abstract: According to one embodiment of the present invention, sets of medical record data that have a common development order of diseases to be focused on and different times until the diseases develop are selected from medical record data, a feature indicating a health state of a user is extracted from each piece of medical record data constituting the set for each of the sets of the medical record data, the extracted feature is set as training data, a risk score for a co-occurrence or an occurrence of a complication of each of the diseases is calculated based on examination data of a first-year examination and a time until each of the diseases occur, and the risk score is set as correct answer data. At this time, the development risk score is calculated such that a user having a short elapsed time until development has a larger value than a user having a long elapsed time until development.

Abstract: The purpose of the present invention is to reduce leakage of an output signal between band-pass filters and in the time axis direction. A signal input part 1 vectorizes an input signal x(n). An extended impulse response matrix generation part 2 generates an extended impulse response matrix He in which impulse response vectors using impulse response sequences of band-pass filters as elements are extended in the time axis direction. An expansion coefficient calculation part 3 calculates an expansion coefficient vector {circumflex over (?)}y(n) using an input signal vectors ?x(n) and the extended impulse response matrix He. A signal output part 4 outputs at least one of expansion coefficients corresponding to a center vector of the extended impulse response matrix He of the expansion coefficient vector {circumflex over (?)}y(n).

Abstract: The purpose of the present invention is to reduce leakage of an output signal between band-pass filters and in the time axis direction. A signal input part 1 vectorizes an input signal x(n). An extended impulse response matrix generation part 2 generates an extended impulse response matrix He in which impulse response vectors using impulse response sequences of band-pass filters as elements are extended in the time axis direction. An expansion coefficient calculation part 3 calculates an expansion coefficient vector {circumflex over (?)}y(n) using an input signal vectors ?x(n) and the extended impulse response matrix He. A signal output part 4 outputs at least one of expansion coefficients corresponding to a center vector of the extended impulse response matrix He of the expansion coefficient vector {circumflex over (?)}y(n).

Abstract: The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection part 1 stores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value.

Abstract: A system management method is disclosed for associating a process object and a process with each node in a tree structure, and operating each node based on the tree structure so as to manage the process object and the process, including: registering a registered user that performs operations for a general node corresponding to the process object or for a function node corresponding to the process; setting the function node as a child node of the general node corresponding to the process object for which the process corresponding to the function node should be performed, and setting the general node as a parent node of the function node; setting registered user operation authority for each registered user; and, when execution of the process corresponding to the function node is requested by the registered user, causing the function node to execute the process only when the process is permitted by the registered user operation authority, of the registered user requesting the process, set in the general node tha

Abstract: A database access control apparatus generates and stores an access key based on a user ID of a user apparatus. Then, the database access control apparatus sends the access key to the user apparatus with an address of a proxy process server apparatus. The user apparatus sends the access key to the proxy process server apparatus when making a database access request, and the proxy process server apparatus sends the access key to the database access control apparatus when making a database process request. When receiving the database process request, the database access control apparatus determines whether an access key same as the access key received from the proxy process server apparatus is stored in the database access control apparatus, and accesses the database only if having the access key.

Abstract: A system management method is disclosed for associating a process object and a process with each node in a tree structure, and operating each node based on the tree structure so as to manage the process object and the process, including: registering a registered user that performs operations for a general node corresponding to the process object or for a function node corresponding to the process; setting the function node as a child node of the general node corresponding to the process object for which the process corresponding to the function node should be performed, and setting the general node as a parent node of the function node; setting registered user operation authority for each registered user; and, when execution of the process corresponding to the function node is requested by the registered user, causing the function node to execute the process only when the process is permitted by the registered user operation authority, of the registered user requesting the process, set in the general node tha

Abstract: A disclosed database access control apparatus generates and stores an access key based on a user ID of a user apparatus. Then, the database access control apparatus sends the access key to the user apparatus with an address of a proxy process server apparatus. The user apparatus sends the access key to the proxy process server apparatus when making a database access request, ad the proxy process server apparatus sends the access key to the database access control apparatus when making a database process request. When receiving the database process request, the database access control apparatus determines whether an access key the same as the access key received from the proxy process server apparatus is stored in the database access control apparatus, and accesses the database only if having the access key.