The application discloses a
patient classification method and device based on magnetic
resonance parameters, equipment, medium, the method comprises the following steps: obtaining the target magnetic
resonance parameter of the target patient; the target magnetic
resonance parameter is selected from a plurality of preset magnetic resonance parameters based on the
cardiac resynchronization label of the sample patient and the true result of the occurrence of the preset endpoint event; the target magnetic resonance parameter comprises a myocardial strain parameter, a
gadolinium contrast agent delayed enhancement result and a left ventricular torsion parameter; the target classification tree is input into the target patient, and the target patient is classified by using the target classification tree, and the target
classification result corresponding to the target patient is obtained; the target classification tree is obtained by extending the preset classification
tree based on the
cut-off value of each target magnetic resonance parameter and the influence of meeting each
cut-off value on
cardiac resynchronization; and the target
classification result is output. The application can classify patients more accurately.