An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers-Reference-Cited by-同舟云学术

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An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

Published:2023 Issue: Volume:21 Page:2305-2315
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Fanidis Dionysios,Pezoulas Vasileios C.,Fotiadis Dimitrios I.,Aidinis Vassilis

Funder

Hellenic Foundation for Research and Innovation

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference62 articles.

1. Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline;Raghu;Am J Respir Crit Care Med,2018

2. Idiopathic pulmonary fibrosis;Garcia;Proc Am Thorac Soc,2011

3. The epidemiology of idiopathic pulmonary fibrosis and interstitial lung diseases at risk of a progressive-fibrosing phenotype;Olson;Eur Respir Rev,2018

4. Healing after COVID-19: are survivors at risk for pulmonary fibrosis?;McDonald;Am J Physiol Lung Cell Mol Physiol,2020

5. Increased odds of death for patients with interstitial lung disease and COVID-19: A Case–Control Study;Esposito;Am J Respir Crit Care Med,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Increased lipocalin-2 expression in pulmonary inflammation and fibrosis;Frontiers in Medicine;2023-09-07

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