Predicting Clostridioides difficile infection outcomes with explainable machine learningResearch in context

Summary: Background: Clostridioides difficile infection results in life-threatening short-term outcomes and the potential for subsequent recurrent infection. Predicting these outcomes at diagnosis, when important clinical decisions need to be made, has proven to be a difficult task. Methods: 52 cli...

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Autors principals:	Gregory R. Madden, Rachel H. Boone, Emmanuel Lee, Costi D. Sifri, William A. Petri, Jr.
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-08-01
Col·lecció:	EBioMedicine
Matèries:	Clostridioides difficile infection Prediction model Outcome model Machine learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352396424002809
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