Name
Title | ||
|---|---|---|
Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource. |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/SHTI190058 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
electronic health records,phenotyping,data linkage,prognosis,biomedical informatics | Precision medicine,Caliber,Medical physics,Medicine | Conference |
Volume | ISSN | Citations |
262 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Spiros Denaxas | 1 | 1 | 2.65 |
| Arturo Gonzalez-Izquierdo | 2 | 1 | 2.32 |
| Natalie Fitzpatrick | 3 | 1 | 1.64 |
| Kenan Direk | 4 | 1 | 0.96 |
| Harry Hemingway | 5 | 19 | 5.72 |