README.md

In dsnavega/SPINNE: Spine Proportion through Neural Networks Implementation

SPINNE

an app for human vertebral height estimation based on artificial neural networks

About

SPINNE is decision support system built with R and Shiny web framework to provide vertebral height estimation - reconstruction which has several important applications in biological anthropology and forensic medicine.

SPINNE implements a single- and multi-output regression approach to missing value estimation through the training of a modified Generalized Regression Neural Network architecture.

SPINNE is available on-line as part of the Osteomics project and can be accessed at http://osteomics.com/SPINNE.

SPINNE was developed and is maintained by João Coelho and David Navega.

SPINNE can also be ran locally by installing it as a R package:

Instruction

To install:

install.package(devtools) (only if devtools is not installed) devtools::install_github("dsnavega/SPINNE")

To execute:

library(SPINNE) SPINNE()

dsnavega/SPINNE documentation built on May 4, 2019, 9:50 a.m.