| CPC G16H 50/20 (2018.01) [G16H 50/50 (2018.01)] | 9 Claims |
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1. A prognosis determination device comprising:
a processor and communication interface configured to acquire a medical image and a biological parameter that are related to a disease of a subject from an imaging input device; and
the processor configured to input, to a discriminator, information on the medical image, information on the biological parameter, and information on treatment to be performed on the subject, and cause the discriminator to output information on a prognosis for the subject for a case where the treatment is performed,
wherein:
the discriminator has been generated through a machine learning process based on actual treatment data and interpolation treatment data, wherein the interpolation treatment data represents treatment scenarios beyond available actual treatment records,
the actual treatment data is data on the treatment that has been actually performed, the actual treatment data including a pretreatment medical image as well as a pretreatment biological parameter of a patient, information on the treatment performed on the patient, and information on a prognosis for the patient after the treatment, and
the interpolation treatment data is information for interpolating a posttreatment prognosis for the patient, the interpolation treatment data including information generated from the actual treatment data and a typical model obtained when the treatment is performed, wherein the typical model is constructed from real-world clinical data collected at shorter intervals, published medical literature, and clinical trial data describing treatment methods and outcomes, and wherein the typical model is combined with actual patient data to form the interpolation treatment data.
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