Drug incompatibility recognition and dose adjustment method and device, and storage medium
By constructing a drug knowledge graph to identify drug incompatibilities between Chinese and Western medicines and generating dosage adjustment suggestions, the problem of insufficient identification of drug incompatibilities in the field of integrated Chinese and Western medicine has been solved, and the safety and therapeutic efficacy of drug combination therapy across medical systems have been improved.
Patent Information
- Application Number
- CN202610209125.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-12
- Publication Date
- 2026-06-23
AI Technical Summary
In existing technologies, Large Language Models (LLM) are insufficient in identifying the risk of mutual exclusion between Chinese and Western medicines in the field of integrated Chinese and Western medicine, and traditional dosage adjustment relies on fixed formulas or empirical values, making it difficult to balance the preservation of efficacy and risk avoidance.
By acquiring prescriptions from different medical systems, analyzing drugs and dosages, using drug knowledge graphs to identify drug incompatibilities, and generating dosage adjustment suggestions, a cross-medical system drug incompatibility detection and dosage adjustment method is constructed. This includes drug incompatibility prediction, molecular structure conversion, motif graph generation, and preset model input, ultimately generating an adjusted prescription.
It enables precise and efficient identification and standardized dosage adjustment of drug incompatibilities across medical systems, ensuring medication safety and treatment effectiveness, and providing standardized medication regimens.
Smart Images

Figure CN122266619A_ABST
