Back to search

Article

Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK Biobank

2019-06-27

Abstract excerpt

Electronic Health Records (EHR) are data generated during routine interactions across healthcare settings and contain rich, longitudinal information on diagnoses, symptoms, medications, investigations and tests. A primary use-case for EHR is the creation of phenotyping algorithms used to identify disease status, onset and progression or extraction of information on risk factors or biomarkers. Phenotyping however i...

Topics

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

Identifiers and source

Literature Corpus work
08f213bf-48c2-5140-aaca-6757222e0cd8
DOI
10.1101/685156
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK BiobankDOI 10.1101/685156
Select a neighboring publication to make it the new centre.