Patent ID: 11937932
Assignee: TUNGHAI UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 3:
4. The acute kidney injury predicting system of claim 1, further comprising:
a cloud server connected to the processor, wherein the processor uploads a model parameter of the acute kidney injury prediction model to the cloud server;
an auxiliary memory storing a plurality of auxiliary detection data, a plurality of auxiliary data to be tested and the machine learning algorithm; and
an auxiliary processing unit connected to the cloud server and the auxiliary memory and downloading the model parameter from the cloud server, wherein the auxiliary processing unit trains the model parameter and the auxiliary detection data according to the machine learning algorithm to generate an auxiliary acute kidney injury prediction model and uploads an auxiliary model parameter of the auxiliary acute kidney injury prediction model to the cloud server, and the cloud server aggregates the model parameter and the auxiliary model parameter to create another acute kidney injury prediction model;
wherein the processor downloads the another acute kidney injury prediction model from the cloud server and inputs the data to be tested into the another acute kidney injury prediction model to generate another acute kidney injury characteristic risk probability, and the processor verifies whether the another acute kidney injury characteristic risk probability conforms to a real outcome;
wherein in response to determining that the another acute kidney injury characteristic risk probability does not conform to the real outcome, the cloud server reaggregates the model parameter and the auxiliary model parameter to update the another acute kidney injury prediction model, until the another acute kidney injury characteristic risk probability conforms to the real outcome.