Abstract: [Problem] To predict an outstanding claims reserve required by an insurance company in the future. [Solution] In order to predict an outstanding claims reserve of an insurance company by use of a neural network, an information processing apparatus 100 includes: a training means configured to cause the neural network to learn in such a manner as to, in response to the input of claim data of which insurance claims are not yet paid on the basis of past insurance claim data, estimate and output an unknown cumulative loss based on the claim data of which insurance claims are not yet paid; and an outstanding claims reserve prediction means configured to input claim data of which insurance claims are not yet paid into the neural network that completed learning by the training means and, accordingly, obtain the output of the unknown cumulative loss and predict the outstanding claims reserve required in the future.

Abstract: An object of the present disclosure is to improve setting accuracy of site regions in brain image data. A brain image data processing apparatus 100 includes: a brain image data reading unit for reading brain image data in which the site regions for identifying each site are set at positions corresponding to each site of a brain; a probability calculation unit for calculating a probability that each pixel is included in each site region based on a distance between each pixel and each site region for each pixel not included in any site region in the brain image data read by the brain image data reading unit; and a determination unit for determining which site region each pixel belongs to, based on the probability calculated by the probability calculation unit.

Abstract: An object of the present disclosure is to improve setting accuracy of site regions in brain image data. A brain image data processing apparatus TOO includes: a brain image data reading unit for reading brain image data in which the site regions for identifying each site are set at positions corresponding to each site of a brain; a probability calculation unit for calculating a probability that each pixel is included in each site region based on a distance between each pixel and each site region for each pixel not included in any site region in the brain image data read by the brain image data reading unit; and a determination unit for determining which site region each pixel belongs to, based on the probability calculated by the probability calculation unit.