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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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Uloženo v:
Hlavní autoři: Gregory R. Madden, Rachel H. Boone, Emmanuel Lee, Costi D. Sifri, William A. Petri, Jr.
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2024-08-01
Edice:EBioMedicine
Témata:
Clostridioides difficile infection
Prediction model
Outcome model
Machine learning
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2352396424002809
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