Article

Shrinking the Haystack: An Approach to Identifying Idiopathic Pulmonary Fibrosis in the Electronic Health Record using a Computable Phenotype

2022-09-21

Abstract excerpt

<h4>Background: </h4> Computable phenotypes are computerized search queries that allow efficient identification of specific groups of individuals (e.g., that may meet eligibility criteria for a clinical trial). Heterogeneous clinical syndromes challenge this approach because disease definitions and sub-phenotypes evolve, and diverse phenotypes may be needed for various applications (“use cases”) for diverse resear...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7cf032ac-8fda-51a3-b73e-7eb041293779
DOI: 10.21203/rs.3.rs-2008034/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Shrinking the Haystack: An Approach to Identifying Idiopathic Pulmonary Fibrosis in the Electronic Health Record using a Computable PhenotypeDOI 10.21203/rs.3.rs-2008034/v1Read

Desiderata for computable representations of electronic health records-driven phenotype algorithms.Semantic proximity Read

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.Semantic proximity Read

A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record DataSemantic proximity Read

A general framework for developing computable clinical phenotype algorithms.Semantic proximity Read

Screening for Idiopathic Pulmonary Fibrosis with Comorbid Pattern Recognition in Electronic Health RecordsSemantic proximity Read

A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.Semantic proximity Read

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

A computable phenotype for asthma case identification in adult and pediatric patients: External validation in the Chicago Area Patient-Outcomes Research Network (CAPriCORN).Semantic proximity Read

Trends and opportunities in computable clinical phenotyping: A scoping review.Semantic proximity Read

Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records.Semantic proximity Read

Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.Semantic proximity Read

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.Semantic proximity Read