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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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Huvudupphov: Qiulin Ye, Yue Qi, Juanjuan Liu, Yuexin Hu, Xiao Li, Qian Guo, Danye Zhang, Bei Lin
Materialtyp: Artigo
Språk:Inglês
Utgiven: BMC 2025-02-01
Serie:BMC Cancer
Ämnen:
Borderline ovarian tumor
Recurrence prediction
Neural multi-task logistic regression
Cox regression model
Länkar:https://doi.org/10.1186/s12885-025-13636-9
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