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机器学习在减少下肢骨折患者的LOS中所起的作用

Andrea Fidecicchi1, Ida Santalucia2, Antonella Toscano3

  • 1Dept. of Public Health, University of Naples "Federico II", Naples, Italy.

Studies in health technology and informatics
|July 1, 2025
PubMed
概括

预测下肢骨折的骨科创伤患者的停留时间 (LOS) 对医院效率至关重要. 这项研究使用神经网络来预测LOS,将结果与之前的人工智能 (AI) 模型进行比较.

关键词:
没有了,没有了,没有了,没有了.下肢骨折 在下肢骨折.机器学习 机器学习

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Fractures: Bone Repair01:27

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Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...
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