Patent ID: 11875882
Assignee: ZHEJIANG LAB
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 1:
2. The system for predicting end-stage renal disease complication risk based on contrastive learning according to claim 1, wherein the end-stage renal disease data preparation module comprises:
a data acquisition unit, configured to extract the structured data using the hospital electronic information system and the daily monitoring equipment;
a data cleaning unit, configured to perform missing value processing, error value detecting, duplicated data eliminating and/or inconsistency eliminating operations on the structured data, to obtain static data, one-dimensional time series data and two-dimensional time series data;
a data fusion unit, configured to splice one-dimensional packed data and the static data obtained by performing one-dimensional convolution and two-dimensional convolution operations respectively on the one-dimensional time series data and the two-dimensional time series data, to obtain an original fusion feature; and
the data augmentation unit, configured to obtain the augmented structured data by adopting the data augmentation method combining propensity score matching with SMOTE for the original fusion feature.