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Article

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine - 1 Dec 2024

Hong Erchun, Sun Yunyun, Qin Yongming, Zhao Wenjun, Qin Yanzi, Li Xincan, Zhang Liang

Abstract excerpt

Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes in LUAD is crucial for improving clinical outcomes. Data from TCGA, GEO and GTEx were used to identify 276 ARDS-related genes in LUAD via differential expression...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39656479
DOI: 10.1111/jcmm.70280
PMCID: PMC11629804

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