Improving automated case finding for ectopic pregnancy using a classification algorithm.
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Sustaining Research Networks: the Twenty-Year Experience of the HMO Research NetworkDetection of pelvic inflammatory disease: development of an automated case-finding algorithm using administrative dataThe utility of ICD9-CM codes in identifying induction of labor.Development of a mother-child database for drug exposure and adverse event detection in the Military Health System.Inferring pregnancy episodes and outcomes within a network of observational databases.
P2860
Improving automated case finding for ectopic pregnancy using a classification algorithm.
description
2011 nî lūn-bûn
@nan
2011 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@ast
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@en
type
label
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@ast
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@en
prefLabel
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@ast
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@en
P2093
P2860
P356
P1433
P1476
Improving automated case finding for ectopic pregnancy using a classification algorithm.
@en
P2093
P2860
P304
P356
10.1093/HUMREP/DER299
P407
P577
2011-09-12T00:00:00Z