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Development of a diagnostic learning system using decision tree
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- Okamura Kazutoshi
- Principal Investigator
- 九州大学
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- 吉浦 一紀
- Co-Investigator
- 九州大学
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- 徳安 達士
- Co-Investigator
- 福岡工業大学
About This Project
- Japan Grant Number
- JP17K01134 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 17K01134
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
-
- Multi-year Fund
- Review Section / Research Field
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- Integrated Disciplines > Complex systems > Science education/Educational technology > Educational technology
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2017-04-01 〜 2022-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,160,000 Yen (Direct Cost: 3,200,000 Yen Indirect Cost: 960,000 Yen)
Research Abstract
In previous medical diagnostic imaging training, students read the images given to them. In this study, we aim to create an environment in which students can learn the necessity of examinations by including a step for selecting an examination method in the diagnostic learning system. We constructed a prototype of a diagnostic learning system in which students first select one necessary X-ray examination based on the chief complaint in the assignment sentence, read the image, and then select the next examination they consider necessary.
Details 詳細情報について
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- CRID
- 1040000781962704128
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- Text Lang
- ja
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- Data Source
-
- KAKEN