A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients

Saarang Panchavati,Nicole S Zelin,Anurag Garikipati,Emily Pellegrini,Zohora Iqbal,Gina Barnes,Jana Hoffman,Jacob Calvert,Qingqing Mao,Ritankar Das

American Journal of Infection Control（2022）

Cited 1|Views13

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Abstract

•Clostridioides difficile is a leading cause of infectious diarrhea in hospitalized patients.•Machine learning algorithms can predict Clostridioides difficile with excellent discrimination.•XGBoost maintained predictive performance across a hold-out test set and an external dataset

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Key words

Machine learning,Algorithm,Prediction,Clostridioides difficile,CDI,Electronic health record,XGBoost

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