A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma


Ozden S., Er S., Saylam B., Yildiz B. D. , ŞENOL K. , Tez M.

ANNALI ITALIANI DI CHIRURGIA, vol.89, no.3, pp.193-198, 2018 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 89 Issue: 3
  • Publication Date: 2018
  • Title of Journal : ANNALI ITALIANI DI CHIRURGIA
  • Page Numbers: pp.193-198
  • Keywords: Artificial neural networks, Central lymph node metastasis, Logistic regression, Papillary thyroid microcarcinoma, NECK DISSECTION, CANCER, RISK, CARCINOMA, MORTALITY

Abstract

OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma(PTMC) patients without lymphatic metastasis. Artificial neural network(ANN) has been proposed as an alternative statistical technique for predicting complex biologic phenomena. Our aim is to develop an ANN model in predicting central lymph node metastases(CLNM) in patients with PTMC, in comparison to traditional logistic regression(LR) analysis.