Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer

BACKGROUND: 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 logi...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Oncotarget
Asıl Yazarlar: Kuo, Pao-Jen, Wu, Shao-Chun, Chien, Peng-Chen, Chang, Shu-Shya, Rau, Cheng-Shyuan, Tai, Hsueh-Ling, Peng, Shu-Hui, Lin, Yi-Chun, Chen, Yi-Chun, Hsieh, Hsiao-Yun, Hsieh, Ching-Hua
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Impact Journals LLC 2018
Konular:
Research Paper
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5862614/
https://ncbi.nlm.nih.gov/pubmed/29568393
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.24468
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller