# US 2021/0241910 A1 · Learning assistance apparatus and learning assistance method

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- Number: US 2021/0241910 A1
- Document ID: US20210241910A1
- Status: Published application
- Kind: A1
- Application number: 17/152,987
- Filed: 2021-01-20
- Published: 2021-08-05
- Earliest claimed: 2020-01-30
- Assignees: Canon Medical Systems Corporation
- Applicants: Canon Medical Systems Corporation
- Inventors: Minoru NAKATSUGAWA; Yusuke KANO
- Web page: https://patentgrep.com/patent/US20210241910A1

## CPC

- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 70/60: relating to pathologies
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 3/08: Learning methods
- G06N 3/09: Supervised learning
- G06N 5/02: Knowledge representation; Symbolic representation
- G06N 5/022: Knowledge engineering; Knowledge acquisition
- G06N 5/04: Inference or reasoning models
- G06N 20/00: Machine learning
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G06N 3/045: Combinations of networks
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

A learning assistance apparatus according to an embodiment includes processing circuitry. Based on a knowledge base in which a condition of medical data as an index for medical judgment and medical knowledge derived from the condition are associated with each other, and a model designed to derive a medical inference result from a condition of medical data concerning a subject in response to input of the medical data, the processing circuitry compares the medical data condition related to the derivation of the medical knowledge and the medical data condition related to the derivation of the inference result, for each item of the medical data, and outputs a result of the comparison.

## Claims

### Claim 1

A learning assistance apparatus comprising a processing circuitry configured to
compare, based on a knowledge base in which a condition of medical data as an index for medical judgment and medical knowledge derived from the condition are associated with each other, and a model designed to derive a medical inference result from a condition of medical data concerning a subject in response to input of the medical data, the medical data condition related to the derivation of the medical knowledge and the medical data condition related to the derivation of the inference result, for each item of the medical data, and
output a result of the comparison.

### Claim 2 (depends on 1)

The learning assistance apparatus according to claim 1, wherein
the processing circuitry compares the medical data conditions on which the medical knowledge and the inference result indicate an identical matter or related matters, for each item of the medical data.

### Claim 3 (depends on 1)

The learning assistance apparatus according to claim 1, wherein
the processing circuitry displays a screen visualizing the comparison result for each condition of the medical data.

### Claim 4 (depends on 1)

The learning assistance apparatus according to claim 1, wherein
the processing circuitry adjusts an operation of the model based on the comparison result.

### Claim 5 (depends on 4)

The learning assistance apparatus according to claim 4, wherein
the processing circuitry calculates an error function reflecting a deviation degree between the medical data conditions related to the derivation of the medical knowledge and the derivation of the inference result based on the comparison result, and
adjusts a parameter related to the operation of the model based on the calculated error function.

### Claim 6 (depends on 5)

The learning assistance apparatus according to claim 5, wherein
the processing circuitry calculates the error function based on a difference between condition values of the medical data between the medical knowledge and the inference result.

### Claim 7 (depends on 5)

The learning assistance apparatus according to claim 5, wherein
the processing circuitry calculates the error function based on the number of the medical data positive/negative coefficients of which are reversed between the medical knowledge and the inference result.

### Claim 8 (depends on 5)

The learning assistance apparatus according to claim 5, wherein
the processing circuitry edits the error function according to an editing operation received via an input interface.

### Claim 9 (depends on 1)

The learning assistance apparatus according to claim 1, wherein
the processing circuitry uses, as the knowledge base, a guideline created from a medical viewpoint and prescribing a relation between the medical data condition and the medical knowledge.

### Claim 10

A learning assistance method comprising
comparing, based on a knowledge base in which a condition of medical data as an index for medical judgment and medical knowledge derived from the condition are associated with each other, and a model designed to derive a medical inference result from a condition of medical data concerning a subject in response to input of the medical data, the medical data condition related to the derivation of the medical knowledge and the medical data condition related to the derivation of the inference result, for each item of the medical data, and
outputting a result of the comparison.