Laboratory blood parameters and machine learning for the prognosis of esophageal squamous cell carcinoma

Laboratory blood parameters and machine learning for the prognosis of esophageal squamous cell carcinoma

BackgroundIn contemporary study, the death of esophageal squamous cell carcinoma (ESCC) patients need precise and expedient prognostic methodologies.ObjectiveTo develop and validate a prognostic model tailored to ESCC patients, leveraging the power of machine learning (ML) techniques and drawing ins...

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Bibliographic Details
Main Authors: Feng Lu, Linlan Yang, Zhenglian Luo, Qiao He, Lijuan Shangguan, Mingfei Cao, Lichun Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Oncology
Subjects:
esophageal squamous cell carcinoma
machine learning
random survival forest
prognosis
laboratory blood parameters
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1367008/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1367008/full

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