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...

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Detalhes bibliográficos

Principais autores:	Qiulin Ye, Yue Qi, Juanjuan Liu, Yuexin Hu, Xiao Li, Qian Guo, Danye Zhang, Bei Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-02-01
Colecção:	BMC Cancer
Assuntos:	Borderline ovarian tumor Recurrence prediction Neural multi-task logistic regression Cox regression model
Acesso em linha:	https://doi.org/10.1186/s12885-025-13636-9
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