Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Objectives The association between smoking and patients with schizophrenia has been established through epidemiological ...

Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...

Then, an effective labeled-robust regression (L-RR) method is proposed to simultaneously recover the data and labels of the observed data. Experiments on real datasets show that our proposed methods ...

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...

Data mining is like digging for gold. You’ve likely heard the term “data mining” before, but have you wondered what it means, ...

By Vijay Kumar Malesu New study identifies motor delay and hypotonia as key predictors of genetic diagnoses, offering a ...

For evaluation, the researchers conducted a comprehensive simulation analysis to compare various approaches in the context of mixed regression and classification tasks. The results, illustrated in ...

The recent increase in applications of high-dimensional data poses a severe challenge to data analytics, such as supervised classification, particularly for online applications. To tackle this ...