@inproceedings{1486905458db452884ecb4c2236e2a7b,
title = "Thoracic surgery patients data analysis using SOM neural networks",
abstract = "Data from patients after thoracic surgery caused by lung cancer are analyzed by Self Organizing Maps. Models obtained after training of these neural networks develop a clustering on synaptic weights, using k-means algorithms. Nonlinear relationships were found between patients with diseases and input variables. Results show how these models are useful for extracting value information in biomedical applications.",
author = "Orjuela-Ca{\~n}{\'o}n, {A. D.} and G{\'o}mez-Cajas, {D. F.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th Latin American Congress on Biomedical Engineering, CLAIB 2014 ; Conference date: 29-10-2014 Through 31-10-2014",
year = "2015",
doi = "10.1007/978-3-319-13117-7_194",
language = "English (US)",
series = "IFMBE Proceedings",
publisher = "Springer",
pages = "761--764",
editor = "Ariel Braidot and Alejandro Hadad",
booktitle = "VI Latin American Congress on Biomedical Engineering, CLAIB 2014",
address = "Germany",
}
