A review and promising future directions of machine learning in laboratory animal facility management
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Laboratory Animal Center, Huazhong University of Science and Technology, Wuhan 430030, China

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R-33

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    Abstract:

    As the intelligence level gradually improves in domestic laboratory animal facilities, a large amount of valuable data have been accumulated. These data have not been fully exploited because of the lack of analytical method. In the context of big data, machine learning has achieved remarkable result in biomedicine, building science, and other fields, and provides a reference for its application in laboratory animal facility management. In this article, the contents, methods and models of machine learning applied to various systems of laboratory animal facilities at home and abroad are reviewed and discussed.

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History
  • Received:August 01,2023
  • Revised:
  • Adopted:
  • Online: March 04,2024
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