What we can learn from Big Data about factors influencing perioperative outcome

Research output: Contribution to journal › Article › Academic

12 Citations (Scopus)

Original language	Undefined/Unknown
Pages (from-to)	723-731
Number of pages	9
Journal	Current Opinion in Anaesthesiology
Volume	31
Issue number	6
DOIs	https://doi.org/10.1097/aco.0000000000000659
Publication status	Published - 2018

Research programs

@article{28d6a87d6a0b4f81bc09f85b7f8dd75a,

title = "What we can learn from Big Data about factors influencing perioperative outcome",

author = "Victor Liem and Sanne Hoeks and {van Lier}, Felix and {de Graaff}, Jurgen",

year = "2018",

doi = "10.1097/aco.0000000000000659",

language = "Undefined/Unknown",

volume = "31",

pages = "723--731",

journal = "Current Opinion in Anaesthesiology",

issn = "0952-7907",

publisher = "Lippincott Williams & Wilkins",

number = "6",

}

TY - JOUR

T1 - What we can learn from Big Data about factors influencing perioperative outcome

AU - Liem, Victor

AU - Hoeks, Sanne

AU - van Lier, Felix

AU - de Graaff, Jurgen

PY - 2018

Y1 - 2018

U2 - 10.1097/aco.0000000000000659

DO - 10.1097/aco.0000000000000659

M3 - Article

SN - 0952-7907

VL - 31

SP - 723

EP - 731

JO - Current Opinion in Anaesthesiology

JF - Current Opinion in Anaesthesiology

IS - 6

ER -