PS2-8: ePhenotyping for Abdominal Aortic Aneurysm

Autor:	Jonathan A. Bock, Kenneth M. Borthwick, Evan J. Ryer, James R. Elmore, David J. Carey, Helena Kuivaniemi, Ryan Colonie, David P. Franklin, Gerardus Tromp, Diane T. Smelser
Rok vydání:	2013
Předmět:	Community and Home Care medicine.medical_specialty business.industry Medical record General Medicine medicine.disease computer.software_genre Abdominal aortic aneurysm Data warehouse Selected Abstracts-HMORN 2013: Health Informatics Health care medicine Medical physics Data mining business computer
Zdroj:	Clinical Medicine & Research. 11:152-152
ISSN:	1554-6179 1539-4182
DOI:	10.3121/cmr.2013.1176.ps2-8
Popis:	Background/Aims A large volume of clinical data is captured in electronic medical records (EMRs), and feasibly extracting the data to define clinical phenotypes is valuable to health care research. We designed an algorithm to define abdominal aortic aneurysm (AAA) cases and controls. We implemented the algorithm using our institutional warehouse and propose using the HMORN Virtual Data Warehouse (VDW) to replicate our findings.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c273a6b4f11b5b2add72e5db37a20c72 https://doi.org/10.3121/cmr.2013.1176.ps2-8 Zobrazit plný text záznamu