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2015 ; 4
(1
): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and
Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner
Workflow
#MMPMID27054044
Borthwick KM
; Smelser DT
; Bock JA
; Elmore JR
; Ryer EJ
; Ye Z
; Pacheco JA
; Carrell DS
; Michalkiewicz M
; Thompson WK
; Pathak J
; Bielinski SJ
; Denny JC
; Linneman JG
; Peissig PL
; Kho AN
; Gottesman O
; Parmar H
; Kullo IJ
; McCarty CA
; Böttinger EP
; Larson EB
; Jarvik GP
; Harley JB
; Bajwa T
; Franklin DP
; Carey DJ
; Kuivaniemi H
; Tromp G
Int J Biomed Data Min
2015[Dec]; 4
(1
): ä PMID27054044
show ga
BACKGROUND AND OBJECTIVE: We designed an algorithm to identify abdominal aortic
aneurysm cases and controls from electronic health records to be shared and
executed within the "electronic Medical Records and Genomics" (eMERGE) Network.
MATERIALS AND METHODS: Structured Query Language, was used to script the
algorithm utilizing "Current Procedural Terminology" and "International
Classification of Diseases" codes, with demographic and encounter data to
classify individuals as case, control, or excluded. The algorithm was validated
using blinded manual chart review at three eMERGE Network sites and one
non-eMERGE Network site. Validation comprised evaluation of an equal number of
predicted cases and controls selected at random from the algorithm predictions.
After validation at the three eMERGE Network sites, the remaining eMERGE Network
sites performed verification only. Finally, the algorithm was implemented as a
workflow in the Konstanz Information Miner, which represented the logic
graphically while retaining intermediate data for inspection at each node. The
algorithm was configured to be independent of specific access to data and was
exportable (without data) to other sites. RESULTS: The algorithm demonstrated
positive predictive values (PPV) of 92.8% (CI: 86.8-96.7) and 100% (CI: 97.0-100)
for cases and controls, respectively. It performed well also outside the eMERGE
Network. Implementation of the transportable executable algorithm as a Konstanz
Information Miner workflow required much less effort than implementation from
pseudo code, and ensured that the logic was as intended. DISCUSSION AND
CONCLUSION: This ePhenotyping algorithm identifies abdominal aortic aneurysm
cases and controls from the electronic health record with high case and control
PPV necessary for research purposes, can be disseminated easily, and applied to
high-throughput genetic and other studies.
free
free
free
