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, cilt.89, sa.3, ss.193-198, 2018 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 89 Sayı: 3
  • Basım Tarihi: 2018
  • Dergi Adı: ANNALI ITALIANI DI CHIRURGIA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.193-198
  • Anahtar Kelimeler: Artificial neural networks, Central lymph node metastasis, Logistic regression, Papillary thyroid microcarcinoma, NECK DISSECTION, CANCER, RISK, CARCINOMA, MORTALITY
  • Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

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.