Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm

Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm

Objective‍　‍To investigate the prognostic factors affecting survival in patients with natural killer T-cell lymphoma (NKTL), and then develop a prognostic model for predicting their overall survival (OS) based on random survival forest (RSF) algorithm. Methods‍　‍Demographic and clinical pathological...

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Bibliographic Details
Main Authors: HUANG Zhen, WU Yazhou
Format: Article
Language:zho
Published: Editorial Office of Journal of Army Medical University 2025-02-01
Series:陆军军医大学学报
Subjects:
natural killer t-cell lymphoma
seer database
nomogram
machine learning
random survival forest
survival prediction
Online Access:https://aammt.tmmu.edu.cn/html/202410090.html
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