The invention belongs to the technical field of medical
data processing, and discloses a multi-
drug combined
dose dynamic optimization method, equipment and a medium. The method comprises the following steps: constructing a multi-
drug time-varying structure causal diagram; based on historical clinical
observation data, performing causal effect learning on the structural causal diagram; in response to the current state input of a patient to be treated, carrying out anti-factual reasoning on the structure
causality graph; an optimal
dose combination is calculated that maximizes the desired
efficacy and minimizes the uncertainty. According to the method, the structural causal diagram is constructed, the physiological state of the patient, multi-
drug dose intervention, the pharmacokinetic process and the clinical outcome are uniformly modeled in the same causal framework, and the causal influence of the drug dose on the clinical outcome and the non-causal association relationship can be distinguished under the condition that historical clinical
observation data are mixed and biased; and on this basis, anti-factual reasoning is performed on different dose combinations, so that potential clinical outcome distribution under assumed intervention conditions is obtained.