Open AccessArtificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer
Author(s) -
PaoJen Kuo,
ShaoChun Wu,
PengChen Chien,
Shu-Shya Chang,
Cheng-Shyuan Rau,
Hsueh-Ling Tai,
Shu-Hui Peng,
Yi-Chien Lin,
YiChun Chen,
Hsiao-Yun Hsieh,
ChingHua Hsieh
Publication year - 2018
Publication title -
oncotarget
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.373
H-Index - 127
ISSN - 1949-2553
DOI - 10.18632/oncotarget.24468
Subject(s) - medicine , logistic regression , surgery , head and neck cancer , neurosurgery , radiation therapy
The aim of this study was to develop an effective surgical site infection (SSI) prediction model in patients receiving free-flap reconstruction after surgery for head and neck cancer using artificial neural network (ANN), and to compare its predictive power with that of conventional logistic regression (LR).