Integrating Clinical and Transcriptomic Profiles Associated with Vitamin D to Enhance Disease-Free Survival in Cervical Cancer Recurrence Using the CatBoost Algorithm

Integrating Clinical and Transcriptomic Profiles Associated with Vitamin D to Enhance Disease-Free Survival in Cervical Cancer Recurrence Using the CatBoost Algorithm

<b>Background/Objectives</b>: Cervical cancer is a leading cancer-related cause of death among women, with recurrence being a serious clinical issue. Recent evidence demonstrates that long non-coding RNAs (lncRNAs) affect cancer recurrence. This research investigates vitamin D’s regulato...

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Main Authors: Geeitha Senthilkumar, Renuka Pitchaimuthu, Seshathiri Dhanasekaran, Prabu Sankar Panneerselvam
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
cervical cancer recurrence
vitamin D
disease-free survival
machine learning predictors
long non-coding RNA
Online Access:https://www.mdpi.com/2075-4418/15/13/1579
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