Abstract: A method for learning an insurance claim statement on a basis of a deep neural network, includes: receiving, by an insurance claim statement reviewing device, an input of a plurality of insurance review claim statements containing at least one of first information, second information, third information and fourth information; classifying, by the insurance claim statement reviewing device, the general items, the diagnosed patient injury/disease items, the treatment history items, or the prescription items; converting, by the insurance claim statement reviewing device, the categorical data or the numerical data; inputting, by the insurance claim statement reviewing device, the converted data; training, by the insurance claim statement reviewing device, the deep neural network using training data of the converted data; and verifying, by the insurance claim statement reviewing device, the deep neural network using verification data of the converted data.

Abstract: Disclosed are a method for learning and a device for reviewing an insurance review claim statement on the basis of a deep neural network.