Abstract: This application discloses a method for predicting an attribute of a target object based on machine learning and a related device, which belong to the field of data prediction technologies. According to the method, a global feature of the target object is determined based on a rule feature representing historical and future change rules of a detection feature, and the global feature is refined to obtain at least one local feature of the target object, so that the refined local feature can better reflect the feature of the target object, and the attribute of the target object is further predicted based on the local feature, thereby improving the precision of the predicted attribute. When the attribute of the target object is a predicted diagnosis result, the precision of the predicted diagnosis result can be improved.