The Artificial Neural Network as a Diagnostic Tool of the Risk of IClostridioides difficile/I Infection among Patients with Chronic Kidney Disease

The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseas...

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Bibliographic Details
Published in:Journal of clinical medicine 2023-07, Vol.12 (14)
Main Authors: Stojanowski, Jakub, Konieczny, Andrzej, Lis, Łukasz, Frosztęga, Weronika, Brzozowska, Patrycja, Ciszewska, Anna, Rydzyńska, Klaudia, Sroka, Michał, Krakowska, Kornelia, Gołębiowski, Tomasz, Hruby, Zbigniew, Kusztal, Mariusz, Krajewska, Magdalena
Format: Article
Language:English
Subjects:
Analysis
Care and treatment
Chronic kidney failure
Clostridium infections
Complications and side effects
Machine learning
Methods
Neural networks
Prevention
Risk factors
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Summary:The majority of recently published studies indicate a greater incidence and mortality due to Clostridioides difficile infection (CDI) in patients with chronic kidney disease (CKD). Hospitalization, older age, the use of antibiotics, immunosuppression, proton pump inhibitors (PPI), and chronic diseases such as CKD are responsible for the increased prevalence of infections. The aim of the study is to identify clinical indicators allowing, in combination with artificial intelligence (AI) techniques, the most accurate assessment of the patients being at elevated risk of CDI.
ISSN:2077-0383
2077-0383
DOI:10.3390/jcm12144751