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AssigneesNational University Corporation Tokai National Higher Education and Research System, Nagoya Institute of Technology, Riken
InventorsRyo TERAMACHI, Taiki FURUKAWA, Masayuki KARASUYAMA, Hideo YOKOTA
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This information processing device is for predicting the prognosis of a subject patient affected by a disease, and includes a model acquisition unit, a subject patient information acquisition unit, and a prognosis prediction execution unit. The model acquisition unit acquires a prognosis prediction model, being a machine learning model that takes time-series information indicating a time-series transition of factors of the disease as an input, and outputs a prognosis of the disease. The subject patient information acquisition unit acquires time-series information about the subject patient. The prognosis prediction execution unit executes prognosis prediction of the subject patient using the time-series information about the subject patient and the prognosis prediction model, and outputs a result of the prognosis prediction.
An information processing device for predicting a prognosis of a subject patient affected by a disease, comprising:
An information processing method for predicting a prognosis of a subject patient affected by a disease, comprising the steps of:
A non-transitory recording medium storing a computer program for predicting a prognosis of a subject patient affected by a disease, which causes a computer to execute the processing of:
Dependencies are inferred from the claim text.