Medical information processing apparatus and method
AssigneeCanon Medical Systems Corporation
InventorKazumasa NORO
Life of this patent
Estimating the term…
Abstract
An information processing apparatus according includes processing circuitry. The processing circuitry adds a correct answer label used for training a decision making model, which is used for decision making in a medical care field, in accordance with an operator’s input instruction. The processing circuitry collects status data indicating an operator’s status while doing the work of adding a correct answer label. The processing circuitry trains a reliability level determination model which accepts status data and outputs a reliability level of a correct answer label. The processing circuitry obtains input data of a decision making model. The processing circuitry trains a decision making model which accepts input data and outputs output data indicating a result of decision making.
Claims12
A medical information processing apparatus comprising
- processing circuitry configured to:
- add a correct answer label used for training a decision making model, which is a machine learning model used for decision making in a medical care field, in accordance with an operator’s input instruction;
- collect status data indicating a status of the operator while doing the work of adding;
- train, based on the status data and the correct answer label, a reliability level determination model, which is a machine learning model which accepts status data and outputs a reliability level of the correct answer label;
- obtain input data of the decision making model;
- and
- train, based on the input data, the correct answer label, and the reliability level, the decision making model which accepts the input data and outputs output data that is data indicating a result of the decision making.
A medical information processing method comprising:
- adding a correct answer label used for training a decision making model, which is a machine learning model used for decision making in a medical care field, in accordance with an operator’s input instruction;
- collecting status data indicating a status of the operator while doing the work of adding the correct answer label;
- training, based on the status data and the correct answer label, a reliability level determination model, which is a machine learning model which accepts status data and outputs a reliability level of the correct answer label;
- obtaining input data of the decision making model;
- and
- training, based on the input data, the correct answer label, and the reliability, the decision making model which accepts the input data and outputs output data that is data indicating a result of the decision making.
Dependencies are inferred from the claim text.