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

Claim 9:
10. 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 goodness of fit is determined based on (i) a distribution range of the first attribute data calculated for each of the plurality of types of attributes of the object-to-be-trained and (ii) number of types of attributes for which the second attribute data are outside the distribution range.