Based on a TCM prescription database containing 81,219 valid records, this study focused on three
clinically high-incidence chronic diseases (hypertension, diabetes mellitus, and chronic gastritis),
constructed an evaluation system and quantitative model for the adaptability of TCM prescriptions
in the diagnosis and treatment scenario of...
Objective: Based on a big data set of 84,294 traditional Chinese medicine (TCM) prescriptions, a
four-dimensional matching model (Fitting Model, FM) integrating "syndrome type-target
point-functionality-ingredient" was constructed. The matching degree was quantitatively calculated
to elucidate the precise matching patterns of TCM...
With the rapid development of the digital economy, the scale and complexity of financial market transactions have grown exponentially. Traditional risk warning models based on static data are no longer able to meet the needs of dynamic risk identification. This study addresses the challenge of dynamic correlation analysis of time-series data...
With the increasing complexity of pipeline inspection and maintenance requirements, traditional single sensor methods have exposed significant technical bottlenecks in dealing with changing pipeline environments. This study proposes an intelligent pipeline robot navigation and defect recognition framework based on multi-sensor fusion. By...
