A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression

Abstract Background Effective management of patients with borderline ovarian tumor (BOT) requires the timely identification of those at a higher risk of recurrence. Artificial neural networks have been successfully used in many areas of clinical event prediction, significantly affecting clinical dec...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Qiulin Ye, Yue Qi, Juanjuan Liu, Yuexin Hu, Xiao Li, Qian Guo, Danye Zhang, Bei Lin
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2025-02-01
Seri Bilgileri:	BMC Cancer
Konular:	Borderline ovarian tumor Recurrence prediction Neural multi-task logistic regression Cox regression model
Online Erişim:	https://doi.org/10.1186/s12885-025-13636-9
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression

Benzer Materyaller