A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Greater baseline disease pruritus and quality of life impairment are associated with higher rates of super response to dupilumab in patients with AD.
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Between 2008 and 2010, polarization in society increased dramatically alongside a significant shift in social behavior: the ...
Objective: To develop a perioperative lower-extremity deep vein thrombosis (DVT) risk prediction model for spinal fracture surgery patients using logistic regression, supporting clinical prevention ...
Amanda Anisimova is an underdog in the US Open final on Saturday. / Geoff Burke-Imagn Images The stage is set for the US Open women’s final, as world No. 1 Aryna Sabalenka will take on No. 8 Amanda ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Objective: Compare the performance of the Multivariable logistic ...
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