Predicting COPD outcomes with artificial intelligence and traditional statistics: common limitations in a heterogeneous condition

Authors

Manuel Casal-Guisande (ORCID: https://orcid.org/0000-0003-1494-8145)
Alberto Fernández-García (ORCID: https://orcid.org/0000-0003-4993-4616)
Cristina Represas-Represas
Alberto Fernández-Villar (ORCID: https://orcid.org/0000-0001-7407-5249)

Institutions

Instituto de Salud Carlos III (ES)
University Hospital Complex Of Vigo (ES)
Galicia Sur Biomedical Foundation (ES)
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
Centro de Investigación Biomédica en Red (ES)
Povisa Hospital (ES)
Universidade de Vigo (ES)

Publication Details

Journal: ERJ Open Research
Published: 2026-05-01
DOI: https://doi.org/10.1183/23120541.01700-2025
Primary Topic: Chronic Obstructive Pulmonary Disease (COPD) Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting COPD outcomes with artificial intelligence and traditional statistics: common limitations in a heterogeneous condition

Manuel Casal-Guisande, Alberto Fernández-García, Cristina Represas-Represas, Alberto Fernández-Villar

May 1, 2026

ERJ Open Research

Chronic Obstructive Pulmonary Disease (COPD) Research

article

Predicting COPD outcomes with artificial intelligence and traditional statistics: common limitations in a heterogeneous condition

Manuel Casal-Guisande, Alberto Fernández-García, Cristina Represas-Represas, Alberto Fernández-Villar

May 1, 2026article en

Abstract

No abstract available for this paper.

ERJ Open ResearchVol. 12(3)

Instituto de Salud Carlos III (ES), University Hospital Complex Of Vigo (ES), Galicia Sur Biomedical Foundation (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Centro de Investigación Biomédica en Red (ES), Povisa Hospital (ES), Universidade de Vigo (ES)

Good health and well-being

Openalex Percentile: Top 8%

Chronic Obstructive Pulmonary Disease (COPD) Research

DOI Open Access PDF OpenAlex

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Predicting COPD outcomes with artificial intelligence and traditional statistics: common limitations in a heterogeneous condition — Manuel Casal-Guisande, Alberto Fernández-García, et al. · ERJ Open Research (2026) | TGRS Research Map | TGRS