医疗知识图谱驱动的诊疗决策支持系统
By using a medical knowledge graph-driven diagnostic decision support system, which utilizes a vector space model for real-time data updates and composite vector calculations, the system addresses the issues of data lag and insufficient evaluation in existing systems. This enables dynamic quantitative assessment of complex clinical situations and early risk warnings, thereby improving the objectivity and transparency of decision-making.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GANSU UNIV OF CHINESE MEDICINE
- Filing Date
- 2025-11-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing clinical decision support systems cannot effectively integrate real-time multi-source heterogeneous data, lack dynamic quantitative assessment of complex clinical situations and early risk warning, resulting in delayed treatment plan adjustments and an inability to accurately assess the unified evaluation of drug efficacy and side effect risks.
The medical knowledge graph-driven diagnosis and treatment decision support system employs a data acquisition module, a data update module, a data processing module, and a data output module to update the knowledge graph in real time. It uses a vector space model for vectorized representation and composite vector calculation to generate clinical status assessment results.
It enables dynamic quantitative assessment of complex clinical situations, provides early risk warnings, improves the objectivity and transparency of decision-making, avoids the limitations of single-indicator judgment, and supports earlier and more predictive risk identification.
Smart Images
Figure CN121617595B_ABST