Towards automatic diabetes case detection and ABCS protocol compliance assessment.
about
"Big data" and the electronic health record.Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
P2860
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@ast
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@en
type
label
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@ast
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@en
prefLabel
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@ast
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@en
P2093
P2860
P356
P1476
Towards automatic diabetes case detection and ABCS protocol compliance assessment.
@en
P2093
James J Arnzen
Ninad K Mishra
Roderick Y Son
P2860
P304
P356
10.3121/CMR.2012.1047
P577
2012-05-25T00:00:00Z