Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks

Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks

Maternal obesity has been related to adverse neonatal outcomes and fetal programming. Oxidative stress and adipokines are potential biomarkers in such pregnancies; thus, the measurement of these molecules has been considered critical. Therefore, we developed artificial neural network (ANN) models ba...

Full description

Bibliographic Details
Main Authors: Mario Solis-Paredes, Guadalupe Estrada-Gutierrez, Otilia Perichart-Perera, Araceli Montoya-Estrada, Mario Guzmán-Huerta, Héctor Borboa-Olivares, Eyerahi Bravo-Flores, Arturo Cardona-Pérez, Veronica Zaga-Clavellina, Ethel Garcia-Latorre, Gabriela Gonzalez-Perez, José Alfredo Hernández-Pérez, Claudine Irles
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:International Journal of Molecular Sciences
Subjects:
artificial neural networks
pregnancy
oxidative stress markers
adipokines
obesity
Online Access:https://www.mdpi.com/1422-0067/19/1/86

Internet

https://www.mdpi.com/1422-0067/19/1/86

Similar Items