Treatment effect estimation method, system and equipment based on anti-fact prediction and medium

The invention discloses a treatment effect estimation method, system and device based on anti-fact prediction and a medium, and relates to the technical field of machine learning, and the method comprises the steps: obtaining treatment information of a tested individual and individual characteristic variables affecting treatment and treatment results, dividing treatment groups according to the treatment information, and obtaining the treatment results corresponding to the treatment groups; screening out hybrid variable characterization and adjustment variable characterization from the individual characteristic variables by adopting a mutual information method; balancing hybrid variable characterization based on treatment information of the control group and the treatment group; according to the adjusted variable characterization and the balanced hybrid variable characterization, screening out a sample of which the similarity with the characterization of the tested individual exceeds a set threshold value from