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This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (431) Clinical Informatics (1525) Clinical Information and Decision Making (2186) Respiratory Medicine (183) Decision Support for Health Professionals (1729) Electronic Health Records (1445) Digital Biomarkers and Digital Phenotyping (346) Pulmonology, COPD (216)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74932, first published .
Doctor discusses COPD assessment with patient, showing EHR inputs, lungs, risk, and phenotyping.

Automated Chronic Obstructive Pulmonary Disease Phenotyping and Control Assessment in Primary Care: Retrospective Multicenter Study Using the Seleida Model

Automated Chronic Obstructive Pulmonary Disease Phenotyping and Control Assessment in Primary Care: Retrospective Multicenter Study Using the Seleida Model

Authors of this article:

José David Maya Viejo1 Author Orcid Image ;   Fernando M Navarro Ros2 Author Orcid Image
Article Authors Cited by (2) Tweetations (70) Metrics Author Video

Journals

  1. Rahemi Z, Omidi M. Deterministic Overlapping Multimorbidity Phenotypes for Leakage-Safe EHR Modeling of Incident Cognitive Impairment in All of Us. Journal of Interdisciplinary Research Applied to Medicine 2026;6(2):9 View
  2. Helguera Quevedo J, Mesa Rodríguez P, Richard Rodríguez L, Correcher Salvador Z, Paredero Domínguez J, Plaza Zamora F, Navarro Ros F, Maya Viejo J. Reframing COPD Instability Under GOLD 2026: A Bayesian Multi-Outcome Retrospective EHR Analysis in Primary Care. Journal of Respiration 2026;6(2):9 View