Intelligent processing and analysis feedback system for gastric cancer PROs data

Abstract

This invention relates to the field of medical data processing technology, specifically to an intelligent processing, analysis, and feedback system for gastric cancer prognostic (PRO) data. The system includes a data acquisition module, a weight reconstruction module, and a field optimization module. It acquires questionnaire information and clinical data with initial weights from patients at different disease stages. Based on the accuracy of field prediction and completion, it performs field classification and candidate field allocation under dual constraints. After reconstructing field weights, it dynamically adjusts the model's generalization ability and iteratively optimizes to obtain questionnaire-appropriate fields for each disease stage. This invention improves the matching degree between gastric cancer PRO questionnaires and disease stages, balances the longitudinal comparability of cross-stage data with the effectiveness of single-stage data, reduces the burden on patients, and improves the efficiency and clinical applicability of PRO data collection.

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