Development and Validation of Predictive Risk Scores for Ovarian Clear Cell Carcinoma: A Penalized Regression Model

ABSTRACT Background The precision management of ovarian clear cell carcinoma (OCCC) faces limitations due to the absence of personalized prognostic tools. This study aimed to establish predictive risk scores to enable effective stratification and tailored treatment of OCCC. Methods Retrospective dat...

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Bibliografische gegevens

Hoofdauteurs:	Shohei Iyoshi, Ryo Emoto, Nobuhisa Yoshikawa, Kosuke Yoshida, Masato Yoshihara, Satoshi Tamauchi, Akira Yokoi, Yusuke Shimizu, Yoshiki Ikeda, Kaoru Niimi, Michiyasu Kawai, Shigeyuki Matsui, Hiroaki Kajiyama
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wiley 2025-08-01
Reeks:	Cancer Medicine
Onderwerpen:	clear cell carcinoma machine learning ovarian cancer penalized regression prediction model
Online toegang:	https://doi.org/10.1002/cam4.71118
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