The Artificial Neural Network as a Diagnostic Tool of the Risk of <i>Clostridioides difficile</i> Infection among Patients with Chronic Kidney Disease

The Artificial Neural Network as a Diagnostic Tool of the Risk of <i>Clostridioides difficile</i> Infection among Patients with Chronic Kidney Disease

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

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Bibliographic Details
Main Authors: Jakub Stojanowski, Andrzej Konieczny, Łukasz Lis, Weronika Frosztęga, Patrycja Brzozowska, Anna Ciszewska, Klaudia Rydzyńska, Michał Sroka, Kornelia Krakowska, Tomasz Gołębiowski, Zbigniew Hruby, Mariusz Kusztal, Magdalena Krajewska
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
machine learning
<i>Clostridioides difficile</i>
chronic kidney disease
Online Access:https://www.mdpi.com/2077-0383/12/14/4751
Description
Summary:The majority of recently published studies indicate a greater incidence and mortality due to <i>Clostridioides difficile</i> 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

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