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Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap

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Published in:International Journal of Chronic Obstructive Pulmonary Disease
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Chronic Obstructive Pulmonary Disease
description
discipline_display Respiratory Diseases
discipline_facet Respiratory Diseases
format Online Article
RSS Article
genre Journal Article
id rss_article:101336
institution FRELIP
journal_source_facet International Journal of Chronic Obstructive Pulmonary Disease
last_indexed 2026-07-10T03:34:57.227Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
Respiratory Diseases
General
Respiratory Diseases
sub_discipline_display General
sub_discipline_facet General
subject_display Respiratory Diseases
General
Respiratory Diseases
subject_facet Respiratory Diseases
General
Respiratory Diseases
title Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_alt Nomograma basado en aprendizaje automático con Boruta y LASSO para la predicción de mortalidad a 28 días en pacientes críticos con EPOC: Papel del brecha aniónica corregida por albúmina
Nomogramme basé sur l'apprentissage automatique avec Boruta et LASSO pour la prédiction de la mortalité à 28 jours chez les patients BPCO critiques : rôle du trou anionique corrigé par l'albumine
Nomograma Baseado em Aprendizado de Máquina com Boruta e LASSO para Predição de Mortalidade em 28 Dias em Pacientes Críticos com DPOC: Papel do Gap Aniônico Corrigido pela Albumina
title_auth Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_es_txt Nomograma basado en aprendizaje automático con Boruta y LASSO para la predicción de mortalidad a 28 días en pacientes críticos con EPOC: Papel del brecha aniónica corregida por albúmina
title_fr_txt Nomogramme basé sur l'apprentissage automatique avec Boruta et LASSO pour la prédiction de la mortalité à 28 jours chez les patients BPCO critiques : rôle du trou anionique corrigé par l'albumine
title_full Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_fullStr Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_full_unstemmed Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_pt_txt Nomograma Baseado em Aprendizado de Máquina com Boruta e LASSO para Predição de Mortalidade em 28 Dias em Pacientes Críticos com DPOC: Papel do Gap Aniônico Corrigido pela Albumina
title_short Machine Learning-Based Nomogram with Boruta and LASSO for 28-Day Mortality Prediction in Critical COPD Patients: Role of the Albumin-Corrected Anion Gap
title_sort machine learning-based nomogram with boruta and lasso for 28-day mortality prediction in critical copd patients: role of the albumin-corrected anion gap
topic Respiratory Diseases
General
Respiratory Diseases
url https://www.dovepress.com/machine-learning-based-nomogram-with-boruta-and-lasso-for-28-day-morta-peer-reviewed-fulltext-article-COPD