The invention belongs to the technical field of
vascular access catheterization evaluation, and discloses an intelligent evaluation method and device before
vascular access catheterization and a storage medium, and the method comprises the steps: firstly obtaining medical data of three features of a patient's treatment scheme, a vascular condition and a host risk, and constructing a comprehensive
feature vector through numeralization and
standardization processing; inputting the adaptive
probability vector into a pre-trained multi-classification gradient lifting
decision tree model to obtain an initial adaptive
probability vector and performing probability calibration; correcting the calibrated probability based on a clinical rule set containing a hard constraint rule and a soft penalty rule, and generating a final recommendation
probability vector; and finally, outputting a recommendation
list sorted according to the probability and key feature contribution information. Quantitative and accurate evaluation of the
vascular access is achieved, selection deviation caused by experience dependence is avoided, complication risks are reduced,
clinical decision-making efficiency and safety are improved, the decision-making process is transparent and explainable, and clinical practical application requirements are met.