Patent ID: 11862301
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 15:
16. A device for training a neural network constituting a dementia identification model, the device comprising:
a storage configured to store at least one program command;
a communication unit; and
at least one processor configured to perform the at least one program command,
wherein the at least one processor receives, via the communication unit, user identification information of a test user from a test device of the test user, receives, via the communication unit, test result data obtained by a first task related to Stroop test, a second task related to a computational power test, and a third task related to a memory test from the test device of the test user, labels the test result data and the user identification information with a score value, and trains the dementia identification model by updating a weight of at least one node of the neural network by backpropagating, to an input layer of the neural network, a difference value between an output score value and the target score value,
wherein the output score value is predicted through the neural network by inputting the test result data and the user identification information into the dementia identification model,
wherein the target score value has a correlation with a paper score value obtained after the test user performs a Stroop test, a computational power test and a memory test through paper, and
wherein the user identification information includes the test user's age information and the test user's gender information.