Abstract: A medical apparatus for estimating a mental/neurological disease with high precision is provided. This medical apparatus includes a computational processing device, a recording device having an estimation program which causes the computational processing device to execute processing recorded therein, a calculation unit configured to calculate a score of a subject, a detection unit configured to detect a disease whose score exceeds a reference range, and an estimation unit configured to estimate a mental/neurological disease.

Abstract: An object of the present invention is to provide an information processing apparatus capable of more easily evaluating a depression state. The present invention is an information processing apparatus including: means for inputting voice data uttered by a subject; means for acquiring time-series data of sound pressure in the input voice data; and means for obtaining a Sound Pressure Change acceleration index that is an index based on a force toward a center and a force away from the center of the acquired time-series data of the sound pressure.

Abstract: A regression model reflecting causality between variation of an explanatory variable and variation of a response variable is constructed. A prediction apparatus predicts characteristic values of a product by using process data obtained from a production facility. The prediction apparatus includes a process data acquisition unit that reads the process data from a storage device that stores the process data obtained from the production facility, and a prediction model generation unit that generates a prediction model on the basis of causality information that defines a combination of first process data and second process data or a value corresponding to the second process data. The first process data and the second process data or the value corresponding to the second process data are included in the read process data. The first process data is used as a predetermined explanatory variable. The second process data or the value corresponding to the second process data is used as response variable.

Abstract: A regression model having a correspondence relationship with variation of an explanatory variable and variation of a target variable is constructed. A regression analysis device includes a data acquisition unit that reads out, from a storage device storing training data used as a target variable and an explanatory variable of a regression model and a constraint condition defining in advance whether the explanatory variable should be varied positively or negatively to vary the target variable in a positive direction or a negative direction, the training data and the constraint condition, and a coefficient update unit that repeatedly updates, using the training data, coefficients of the explanatory variable in the regression model to minimize a cost function including a regularization term that increases a cost in a case where the constraint condition is contravened.

Abstract: An estimation method and device comprising at least one feature amount is calculated with sound data uttered by a subject, a degree of a psychosomatic state of the subject is calculated based on the calculated feature amount, and the psychosomatic state of the subject are estimated based on the calculated degree.

Abstract: A medical apparatus for estimating a mental/neurological disease with high precision is provided. This medical apparatus includes a computational processing device, a recording device having an estimation program which causes the computational processing device to execute processing recorded therein, a calculation unit configured to calculate a score of a subject, a detection unit configured to detect a disease whose score exceeds a reference range, and an estimation unit configured to estimate a mental/neurological disease.

Abstract: An estimation method and device comprising at least one feature amount is calculated with sound data uttered by a subject, a degree of a psychosomatic state of the subject is calculated based on the calculated feature amount, and the psychosomatic state of the subject are estimated based on the calculated degree.

Abstract: A decoding device is provided including a code FIFO memory unit for sequentially storing a bit stream, a barrel shifter for shifting and then outputting codes properly, an accumulator for computing the shift amount of the barrel shifter and issuing a request to read data to the code FIFO memory unit, a DCT coefficient decoder for decoding DCT coefficients, a variable-length code decoder for decoding variable-length codes other than DCT coefficients, a fixed-length code decoder for decoding fixed-length codes, a register unit for storing decoded data, a decoding controller for controlling the decoders in accordance with the decoded data stored in the register unit and decoded data output by the decoders and a memory controller for controlling operations to store DCT coefficients in a memory unit A.