The polynomial regression model not only demonstrated the best statistical fit but ... However, the model explained only a small portion of the variance in eye lens doses (adjusted R 2 = 0.248 for the ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Abstract: The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and ...

Abstract: This paper presents a new approach for automatic recognition of gait phases based on the use of an in-shoe pressure measurement system and a multiple-regression hidden Markov model (MRHMM ..

Correspondence to Dr Rachel Chester, School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK; r.chester{at}uea.ac.uk Objectives To (i) ...

Introducción al entorno de programación R y su aplicación en el análisis estadístico de datos. Predicting car prices using multiple linear regression. This project uses real-world automotive data to ...

indirect or methods such as the two-point method and regression models such as second-order polynomial regression.36 The presence of muscle function deficits after ACLR, notably amyotrophy and reduced ...

kuenm is an R package designed to make the process of model calibration and final model creation easier and more reproducible, and at the same time more robust. The aim of this package is to design ...

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