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Development and Validation of Machine Learning-Based Models for Predicting Postoperative Depression Risk in Patients With Ovarian Cancer.

Objective: To develop machine learning-based prediction models for postoperative depression risk in patients with ovarian cancer and to evaluate their predictive performance and clinical application value. Methods: Clinical data from 850 postoperative patients with ovarian cancer were retrospectivel...

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Publicado en:Actas Espanolas de Psiquiatria Vol. 54; no. 2; pp. 480 - 500
Autores principales: Zhao, Jitong, Pei, Kaige, Liu, Junhan, Bian, Ce, Ling, Chen
Formato: Artículo
Publicado: Maria Lopez-Ibor 2026
Materias:
Prediction models
Mental depression
Random forest algorithms
Machine learning
Feature selection
Risk assessment
Ovarian cancer
Acceso en línea:Ver este registro en EBSCOhost