Machine learning analysis to identify the association between risk factors and onset of nosocomial diarrhea: a retrospective cohort study.

ABSTRACT:

Background

Although several risk factors for nosocomial diarrhea have been identified, the detail of association between these factors and onset of nosocomial diarrhea, such as degree of importance or temporal pattern of influence, remains unclear. We aimed to determine the association between risk factors and onset of nosocomial diarrhea using machine learning algorithms.

Methods

We retrospectively collected data of patients with acute cerebral infarction. Seven variables, including age, sex, modified Rankin Scale (mRS) score, and number of days of antibiotics, tube feeding, proton pump inhibitors, and histamine 2-receptor antagonist use, were used in the analysis. We split the data into a training dataset and independant test dataset. Based on the training dataset, we deve

SUBMITTER: Kurisu K 

PROVIDER: S-EPMC6825409 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature