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Additional file 1: of Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors

Authors :
Guzmán-Bárcenas, José
Hernández, José
Arias-Martínez, Joel
Baptista-González, Héctor
Ceballos-Reyes, Guillermo
Irles, Claudine
Publication Year :
2016
Publisher :
Figshare, 2016.

Abstract

Table S1. Weights and biases for the ANN perinatal model to predict UCB leptin concentration. Weights and biases for the network architecture performance of 12-5-1 for leptin ANN perinatal model. Table S2. Weights and biases for the ANN perinatal model to predict UCB insulin concentration. Weights and biases for the network architecture performance of 12-5-1 for insulin ANN perinatal model. Table S3. Weights and biases for the ANN prenatal model to predict UCB leptin concentration. Weights and biases for the network architecture performance of 6-5-1 for leptin ANN prenatal model. Table S4. Weights and biases for the ANN prenatal model to predict UCB insulin concentration. Weights and biases for the network architecture performance of 6-4-1 for insulin ANN prenatal model. (DOCX 60 kb)

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....9d2582f28a497d392d98a263ca16a449
Full Text :
https://doi.org/10.6084/m9.figshare.c.3600713_d1