Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

JMIR medical informatics - 13 Oct 2025

Maya Viejo José David, Navarro Ros Fernando M

Abstract excerpt

Background: Chronic obstructive pulmonary disease (COPD) remains a leading global health burden. In primary care, the inconsistent availability of spirometry and symptom scores limits the detection of patients with poor disease control. There is a pressing need for scalable, data-driven tools that leverage routinely collected clinical information to support timely, equitable, and guideline-concordant...

Read the complete abstract on PubMed

Topics

Humans
Pulmonary Disease, Chronic Obstructive
Primary Health Care
Retrospective Studies
Phenotype
Male

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Female

Electronic Health Records

Aged

Middle Aged

Source

Open in PubMed Open full text

Identifiers

PMID: 41082606
DOI: 10.2196/74932
PMCID: PMC12517459

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 25 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated Chronic Obstructive Pulmonary Disease Phenotyping and Control Assessment in Primary Care: Retrospective Multicenter Study Using the Seleida Model.PMID 41082606Read ↗

Preclinical Evaluation of Electronic Health Records (EHR) to Predict Poor Control of Chronic Respiratory Diseases in Primary Care: A Novel Approach to Focus Our EffortsSemantic proximity Read ↗

Emerging Therapeutics in COPD: Mapping Innovation to Treatable Traits.Semantic proximity Read ↗

Predictive Modeling for Chronic Disease Management: A Comprehensive StudySemantic proximity Read ↗

The Acute COPD Exacerbation Prediction Tool (ACCEPT): development and external validation study of a personalised prediction modelSemantic proximity Read ↗

A Clinical Phenotyping Algorithm to Identify Cases of Chronic Obstructive Pulmonary Disease in Electronic Health RecordsSemantic proximity Read ↗

Current Controversies in the Pharmacological Treatment of Chronic Obstructive Pulmonary Disease.Semantic proximity Read ↗

Determining prescriptions in electronic healthcare record (EHR) data: methods for development of standardized, reproducible drug codelistsSemantic proximity Read ↗

Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss.Semantic proximity Read ↗

POPE study: rationale and methodology of a study to phenotype patients with COPD in Central and Eastern Europe.Semantic proximity Read ↗

Characterization and validation of EHR computable phenotypes for Long COVID using patient-reported symptoms: insights from the nationwide RECOVER program.Semantic proximity Read ↗

Shrinking the Haystack: An Approach to Identifying Idiopathic Pulmonary Fibrosis in the Electronic Health Record using a Computable PhenotypeSemantic proximity Read ↗

Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning ModelsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.