Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid ...
Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...
Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...
Recent research indicates that experiencing parental divorce during childhood is associated with a significantly higher ...
Background The COVID-19 pandemic reversed a decade of progress in reducing child food insufficiency in the United States.
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Psychotic delusions are evolving to incorporate smartphones and social media algorithms
New research analyzing medical records from a psychiatric treatment program suggests that the content of psychotic delusions ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Abstract: This research paper examines the accuracy of the logistic regression method in predicting employee attrition. Employee attrition is of particular interest to human resources departments due ...
Addressing socio-economic inequality among parents could reduce vaccination uptake inequity for children. Future influenza ...
Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...
Linear to Logistic regression Introduction In this lesson, you'll be introduced to the logistic regression model. You'll start with an introductory example using linear regression, which you've seen ...
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