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Machine Learning-Based Prediction Models for Clostridioides difficile Infection: A Systematic Review.

Raseen TariqSheza MalikRenisha RedijShivaram ArunachalamWilliam A FaubionSahil Khanna
Published in: Clinical and translational gastroenterology (2024)
ML models show promise in predicting CDI incidence and outcomes. However, the observed heterogeneity in CDI definitions and the lack of real-world validation highlight challenges in clinical implementation. Future research should focus on external validation and the use of standardized definitions across studies.
Keyphrases
  • machine learning
  • clostridium difficile
  • big data
  • primary care
  • healthcare
  • risk factors
  • artificial intelligence
  • current status
  • type diabetes
  • deep learning
  • case control
  • metabolic syndrome
  • weight loss