Objective The primary objective was to assess sex differences in long-term functional deterioration and permanent work ...

Background In 2023, the WHO recommended prioritising treatment for moderately wasted children with higher risk ...

Purpose Avoidant restrictive food intake disorder (ARFID) is associated with acute and chronic physical health risks, but ...

Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.

Introduction The number of children with life-limiting conditions has risen in recent decades, partly due to medical advances ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

Your browser does not support the audio element. This guide demonstrates how to use the TensorFlow Core low-level APIs to perform binary classification with logistic ...

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...