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Recommendation an Emergency Patient Destinations by LightGBM
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- Kawaguchi Ryota
- Information Engineering, National Defence Academy of Japan
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- Kubo Masao
- Information Engineering, National Defence Academy of Japan
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- Sato Hiroshi
- Information Engineering, National Defence Academy of Japan
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- Saitoh Daizoh
- National Defence Medical College of Japan
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- Oya Takao
- Saitamaseibu Fire Bureau
Description
We propose to adopt the LightGBM method for recommending a hospital through we conduct some experiments by using patient transport data, and we found that location information, age, degree of injury are important elements in the situation of selecting a hospital. In addition, we found that accuracy can be obtained without detailed personal information, and the task of selecting a destination hospital can be decentralized.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 27 256-259, 2022-01-20
ALife Robotics Corporation Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390291767553397120
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed