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The American Journal of Managed Care2d
Cost vs Accuracy: Choosing the Best ML Model for Vascular Calcification in CKD
While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...
News Medical3y
Researchers investigate COVID-19 data with logistic regression model training
As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...
Medical Xpress1y
An open-source Python toolbox of nomogram generator made available
More information: Haoyang Hong et al, simpleNomo: A Python Package of Making Nomograms for Visualizable Calculation of Logistic Regression Models, Health Data Science (2023). DOI: 10.34133/hds.0023 ...
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Logistic Regression Machine Learning Example ¦ Simply Explained
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
University of Bristol1y
Introduction to Linear and Logistic Regression Models
Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
Lasso-LR model best for predicting AKI mortality in alcoholic cirrhosis
The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...
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Logistic Regression Cost Function ¦ Machine Learning ¦ Simply Explained
Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression ...