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Machine Learning Models for Prediction of Severe Pneumocystis carinii Pneumonia after Kidney Transplantation: A Single-Center Retrospective Study.

Yiting LiuTao QiuHaochong HuChenyang KongYalong ZhangTianyu WangJiangqiao ZhouJilin Zou
Published in: Diagnostics (Basel, Switzerland) (2023)
Machine learning algorithms offer a viable approach for constructing prognostic models to predict the development of severe disease following PCP in kidney transplant recipients, with potential practical applications.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • early onset
  • deep learning
  • drug induced
  • intensive care unit
  • risk assessment
  • human health