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

Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.

American journal of rhinology & allergy - 1 Jan 2000

Hsu Joy, Pacheco Jennifer A, Stevens Whitney W, Smith Maureen E, Avila Pedro C

Abstract excerpt

BACKGROUND: Chronic rhinosinusitis (CRS) is prevalent, morbid, and poorly understood. Extraction of electronic health record (EHR) data of patients with CRS may facilitate research on CRS. However, the accuracy of using structured billing codes for EHR-driven phenotyping of CRS is unknown. We sou...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Electronic Health Records
Share to Endoscopy
Share to International Classification of Diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Natural Language Processing

Share to Observer Variation

Share to Reference Standards

Share to Rhinitis

Share to Sinusitis

Source

Open in PubMed Open full text

Identifiers

PMID: 24717952
DOI: 10.2500/ajra.2014.28.4012
PMCID: PMC5517777

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24717952-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.PMID 24717952Read ↗

Phenotypes of Chronic Rhinosinusitis.Semantic proximity Read ↗

Personalized Medicine in Chronic Rhinosinusitis: Phenotypes, Endotypes, and Biomarkers.Semantic proximity Read ↗

Current insight into treatment of chronic rhinosinusitis: Phenotypes, endotypes, and implications for targeted therapeutics.Semantic proximity Read ↗

Identification of chronic rhinosinusitis phenotypes using cluster analysis.Semantic proximity Read ↗

Phenotypes in Chronic Rhinosinusitis.Semantic proximity Read ↗

Nasal and sinus symptoms and chronic rhinosinusitis in a population-based sample.Semantic proximity Read ↗

A real-world assessment of asthma with chronic rhinosinusitis.Semantic proximity Read ↗

When rhinosinusitis is not just rhinosinusitis: Clinical characteristics and phenotypes of patients with type 2 chronic rhinosinusitis with nasal polyps.Semantic proximity Read ↗

A review of current biomarkers in chronic rhinosinusitis with or without nasal polyps.Semantic proximity Read ↗

[Unsupervised clustering analysis based on multidimensional features reveals distinct clinical characteristics and associated factors of different phenotypes in patients with chronic rhinosinusitis with nasal polyp].Semantic proximity Read ↗

Chronic rhinosinusitis.Semantic proximity Read ↗

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

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