Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

David Ung; Joosup Kim; Amanda G. Thrift; Dominique A. Cadilhac; Nadine E. Andrew; Vijaya Sundararajan; Moira K. Kapral; Mathew Reeves; Monique F. Kilkenny

doi:10.1161/STROKEAHA.118.020372

Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

David Ung, Joosup Kim, Amanda G. Thrift, Dominique A. Cadilhac, Nadine E. Andrew, Vijaya Sundararajan, Moira K. Kapral, Mathew Reeves, Monique F. Kilkenny

Research output: Contribution to journal › Review Article › Research › peer-review

26 Citations (Scopus)

Original language	English
Pages (from-to)	1302-1309
Number of pages	8
Journal	Stroke
Volume	50
Issue number	5
DOIs	https://doi.org/10.1161/STROKEAHA.118.020372
Publication status	Published - 1 May 2019

Keywords

big data
cohort studies
data collection
data linkage
mortality
registries
stroke

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10.1161/STROKEAHA.118.020372

Cite this

@article{bb293b8c4e2d443b96b18531006f58a1,

title = "Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research",

keywords = "big data, cohort studies, data collection, data linkage, mortality, registries, stroke",

author = "David Ung and Joosup Kim and Thrift, {Amanda G.} and Cadilhac, {Dominique A.} and Andrew, {Nadine E.} and Vijaya Sundararajan and Kapral, {Moira K.} and Mathew Reeves and Kilkenny, {Monique F.}",

year = "2019",

month = may,

day = "1",

doi = "10.1161/STROKEAHA.118.020372",

language = "English",

volume = "50",

pages = "1302--1309",

journal = "Stroke",

issn = "0039-2499",

publisher = "American Heart Association",

number = "5",

}

TY - JOUR

T1 - Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

AU - Ung, David

AU - Kim, Joosup

AU - Thrift, Amanda G.

AU - Cadilhac, Dominique A.

AU - Andrew, Nadine E.

AU - Sundararajan, Vijaya

AU - Kapral, Moira K.

AU - Reeves, Mathew

AU - Kilkenny, Monique F.

PY - 2019/5/1

Y1 - 2019/5/1

KW - big data

KW - cohort studies

KW - data collection

KW - data linkage

KW - mortality

KW - registries

KW - stroke

UR - http://www.scopus.com/inward/record.url?scp=85065099337&partnerID=8YFLogxK

U2 - 10.1161/STROKEAHA.118.020372

DO - 10.1161/STROKEAHA.118.020372

M3 - Review Article

C2 - 31009352

AN - SCOPUS:85065099337

SN - 0039-2499

VL - 50

SP - 1302

EP - 1309

JO - Stroke

JF - Stroke

IS - 5

ER -

Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

Keywords

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NHMRC Research Fellowship

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Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

Keywords

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NHMRC Research Fellowship

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