The invention relates to a method and a
system for constructing a
traditional Chinese medicine lung cancer prevention and
treatment system based on multi-
source data fusion, belongs to the technical field of
big data, integrates multi-source information such as global evidence-based literature, real world clinical data and expert decision support, constructs an AI-driven three-layer
cognitive model, develops a clinical transformation platform, and provides a
traditional Chinese medicine lung cancer prevention and
treatment system. The method comprises the following steps: screening dominant treatment stages through an intelligent
algorithm, optimizing a diagnosis and treatment scheme, establishing a quantitative correlation model of
pathogenesis key elements and tumor metabolic activities, further constructing a syndrome-
metabolism knowledge graph, forming a
syndrome differentiation validity
verification mechanism and a prescription linkage
database, and finally designing a result transformation engine. New
drug research and development and nosocomial preparation conversion are driven through an evidence chain, and evaluation standards are formulated in cooperation with
traditional Chinese medicine syndrome improvement and
western medicine solid tumor
curative effect indexes. According to the method, the
bottleneck problems of
data splitting, dialectical staticizing and conversion in traditional research are solved, and full-chain innovation from cognitive modeling to clinical landing is achieved.