Pst Corporation, Inc.

The University of Tokyo

Daicel Corporation

Mitsuyoshi, Shunji

Shuji Shinohara

Shunji Mitsuyoshi

Yasuhiro Omiya

Hiroshi Okamoto

Masahiro Haitsuka

Fumihiro Miyoshi

Hidetoshi Kozono

Mitsuteru Nakamura

Shinichi Tokuno

Marina Takahashi

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. The prediction model has learned features of the process data obtained from the production facility. The prediction model generation unit generates the prediction model and determines a positive/negative variation direction of the response variable in accordance with a positive/negative variation direction of the predetermined explanatory variable.

Prediction apparatus, prediction method, and program

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.

Information processing apparatus, method, and program

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.

Apparatus for estimating mental/neurological disease

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.

Estimation method, estimation program, estimation device, and estimation system

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Tokyo, Japan

Shuji Shinohara