Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...
A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
ABSTRACT: This study proposes a segmented approach to analyzing diabetes risk factors using the dataset diabete_custom.xlsx (150 individuals, 14 medical and behavioral variables). The combination of ...
Objective: To develop and internally validate interpretable machine learning (ML) models for predicting individual central line-associated bloodstream infection (CLABSI) risk in adult ICU patients ...
Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...