Patent ID: 11922277
Assignee: OSAKA UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC G

Claim 2:
3. The method of claim 1, wherein the individual differentiation models include the differentiation maximum (MAX) model for each of the subjects as a main model and the rest of the individual differentiation models as a supporter model set, further comprising,
i) calculating, by the processor, values of third differentiation accuracy by an ensemble method, wherein the ensemble method includes,
preparing ensembles each including the main model and one of the individual differentiation models included in the supporter model set by combining the main model with respective ones in the supporter model set to generate the ensembles, and
calculating each of the values of the third differentiation accuracy based on voting of the individual differentiation models included in the ensemble, and

ii) selecting, by the processor, the individual differentiation model included in the ensemble with the highest value of the third differentiation accuracy, and
iii) updating the main model by setting the main model as a set of the main model and the selected individual differentiation model and updating the supporter model set by eliminating the selected individual differentiation model from the supporter model set, and
iv) repeating the steps i) to iii) until updating of the supporter model set by elimination of the selected individual differentiation model from the supporter model set terminates to determine an improved differentiation model for each of the subjects as the ensemble with the highest value of the third differentiation accuracy.