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Risk Factors and Predictive Models for Peripherally Inserted Central Catheter Unplanned Extubation in Patients With Cancer: Prospective, Machine Learning Study.

Jinghui ZhangGuiyuan MaJianmei HouRan XuJiaji HuNian YaoJiaan WangXin Huang
Published in: Journal of medical Internet research (2023)
In summary, this study identified 10 independent risk factors for PICC-UE in patients with cancer. The predictive model developed using the support vector machine algorithm demonstrated excellent clinical applicability and was validated externally, providing valuable support for the early prediction of PICC-UE in patients with cancer.
Keyphrases
  • machine learning
  • risk factors
  • deep learning
  • artificial intelligence
  • mechanical ventilation
  • acute kidney injury
  • ultrasound guided