Cargando…
Comparison of Prediction Model for Cardiovascular Autonomic Dysfunction Using Artificial Neural Network and Logistic Regression Analysis
BACKGROUND: This study aimed to develop the artificial neural network (ANN) and multivariable logistic regression (LR) analyses for prediction modeling of cardiovascular autonomic (CA) dysfunction in the general population, and compare the prediction models using the two approaches. METHODS AND MATE...
Autores principales: | Tang, Zi-Hui, Liu, Juanmei, Zeng, Fangfang, Li, Zhongtao, Yu, Xiaoling, Zhou, Linuo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3734274/ https://www.ncbi.nlm.nih.gov/pubmed/23940593 http://dx.doi.org/10.1371/journal.pone.0070571 |
Ejemplares similares
-
Correction: Comparison of Prediction Model for Cardiovascular Autonomic Dysfunction Using Artificial Neural Network and Logistic Regression Analysis
por: Tang, Zi-Hui, et al.
Publicado: (2017) -
Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population
por: Liu, Juanmei, et al.
Publicado: (2013) -
Association and Predictive Value Analysis for Resting Heart Rate and Diabetes Mellitus on Cardiovascular Autonomic Neuropathy in General Population
por: Tang, Zi-Hui, et al.
Publicado: (2014) -
Bayesian estimation of cardiovascular autonomic neuropathy diagnostic test based on short-term heart rate variability without a gold standard
por: Tang, Zi-Hui, et al.
Publicado: (2014) -
The analysis of a reference value for baroreflex sensitivity and cardiovascular autonomic neuropathy prevalence in a Chinese population
por: Tang, Zi-Hui, et al.
Publicado: (2014)