Patent ID: 11901074
Assignee: CANON MEDICAL SYSTEMS CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A medical information processing method comprising:
performing processing using a trained model that is generated by machine learning with a plurality of training data;
acquiring first attribute data indicating at least one attribute of an object-to-be-trained related to the plurality of training data that are used for generating the trained model;
acquiring second attribute data indicating an attribute of an object-to-be-diagnosed; and
performing the processing on input-data of the object-to-be-diagnosed based on goodness of fit that is an index indicating degree of matching between the first attribute data and the second attribute data, wherein
the at least one attribute of the object-to-be-trained comprises a plurality of types of attributes; and
the method further comprises performing processing of issuing a warning to a user or other alternative processing when the at least one attribute of the object-to-be-diagnosed is a specific attribute and the goodness of fit of the specific attribute is equal to or less than a predetermined value, the alternative processing being processing that does not use the trained model.