Literature DB >> 31349307

Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource.

Spiros Denaxas1,2,3, Arturo Gonzalez-Izquierdo1,2,3, Natalie Fitzpatrick1,2,3, Kenan Direk1,2,3, Harry Hemingway1,2,3.   

Abstract

Electronic health records (EHR) are increasingly being used for observational research at scale. In the UK, we have established the CALIBER research resource which utilizes national primary and hospital EHR data sources and enables researchers to create and validate longitudinal disease phenotypes at scale. In this work, we will describe the core components of the resource and provide results from three exemplar research studies on high-resolution epidemiology, disease risk prediction and subtype discovery which demonstrate both the opportunities and challenges of using EHR for research.

Entities:  

Keywords:  biomedical informatics; data linkage; electronic health records; phenotyping; prognosis

Mesh:

Year:  2019        PMID: 31349307     DOI: 10.3233/SHTI190058

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Equity and the JAMA Network.

Authors:  Phil B Fontanarosa; Annette Flanagin; John Z Ayanian; Robert O Bonow; Neil M Bressler; Dimitri Christakis; Mary L Disis; S Andrew Josephson; Melina R Kibbe; Dost Öngür; Jay F Piccirillo; Rita F Redberg; Frederick P Rivara; Kanade Shinkai; Clyde W Yancy
Journal:  JAMA Neurol       Date:  2021-08-01       Impact factor: 29.907

2.  Benchmarking machine learning models on multi-centre eICU critical care dataset.

Authors:  Seyedmostafa Sheikhalishahi; Vevake Balaraman; Venet Osmani
Journal:  PLoS One       Date:  2020-07-02       Impact factor: 3.240

  2 in total

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