Partial Least Square Non-Linear Structural Equation Modelling for Cardio Vascular Disease

Authors

  • Xavier Author
  • LeoAlexander.T Author

Keywords:

Structural equation modeling using partial least squares Modeling the inside out, a  model of the outside world, Ejection Fraction, onlinear Effect, Linear Effect The R language

Abstract

Structural Equation Modelling (SEM) is used to examine the relationships between the 
constructs. Partial Least Square nonlinear Path Modeling is another name for it (PLS- PM). PLS-PM 
uses a partial least squares algorithm to estimate factor scores and path coefficients. Two linear and 
two non-linear constructs are used to examine the Ejection Fraction and Survival of cardiovascular 
disease data in this research. In order to study the interrelationships between the various 
constructions, an inner model and an exterior model must be created. PLS-SEM is used to estimate 
the parameters of the provided models in R version 3.5.1.

 

Downloads

Published

02-04-2022

Issue

Vol. 18 No. 2 (2022): Volume 18 Issue 2 2022

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Partial Least Square Non-Linear Structural Equation Modelling for Cardio Vascular Disease. (2022). International Journal of Engineering Research and Science & Technology, 18(2), 23-35. https://ijerst.org/index.php/ijerst/article/view/111