The invention discloses a
patient classification method and device based on magnetic
resonance parameters, equipment and a medium. The method comprises the steps of obtaining target magnetic
resonance parameters of a target patient; the target magnetic
resonance parameter is screened from a plurality of preset magnetic resonance parameters based on the heart resynchronization tag of the sample patient and the real result of the occurrence of the preset endpoint event; the target magnetic resonance parameters comprise a myocardial strain parameter, a
gadolinium contrast agent
delay strengthening result and a left ventricular torsion parameter; inputting the target magnetic resonance parameters of the target patient into a target classification tree, and classifying the target patient by adopting the target classification tree to obtain a target
classification result corresponding to the target patient; the target classification tree is obtained by extending a preset classification tree on the basis of
cut-off values of the target magnetic resonance parameters and meeting the influence of the
cut-off values on heart resynchronization; and outputting a target
classification result. According to the method, the patients can be classified more accurately.