Optimising case detection within UK electronic health records: use of multiple linked databases for detecting liver injury
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Quantification of the risk of liver injury associated with flucloxacillin: a UK population-based cohort study.Validation of asthma recording in electronic health records: protocol for a systematic review.Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales.
P2860
Optimising case detection within UK electronic health records: use of multiple linked databases for detecting liver injury
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2016 nî lūn-bûn
@nan
2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Optimising case detection with ...... ses for detecting liver injury
@ast
Optimising case detection with ...... ses for detecting liver injury
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Optimising case detection with ...... ses for detecting liver injury
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type
label
Optimising case detection with ...... ses for detecting liver injury
@ast
Optimising case detection with ...... ses for detecting liver injury
@en
Optimising case detection with ...... ses for detecting liver injury
@nl
prefLabel
Optimising case detection with ...... ses for detecting liver injury
@ast
Optimising case detection with ...... ses for detecting liver injury
@en
Optimising case detection with ...... ses for detecting liver injury
@nl
P2093
P2860
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Optimising case detection with ...... ses for detecting liver injury
@en
P2093
Ian Douglas
Kevin Wing
Krishnan Bhaskaran
Olaf H Klungel
Robert F Reynolds
P2860
P304
P3181
P356
10.1136/BMJOPEN-2016-012102
P407
P577
2016-09-02T00:00:00Z