Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management

Noreen Kamal; Kamakshi Lakshminarayan

doi:10.1161/STROKEAHA.122.039954

Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management

Noreen Kamal, Kamakshi Lakshminarayan

Epidemiology & Community Health

Research output: Contribution to journal › Editorial › peer-review

2 Scopus citations

Original language	English (US)
Pages (from-to)	2768-2769
Number of pages	2
Journal	Stroke
Volume	53
Issue number	9
DOIs	https://doi.org/10.1161/STROKEAHA.122.039954
State	Published - Sep 1 2022

Keywords

Editorials
clinical decision-making
demography
goal
hospital

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1161/STROKEAHA.122.039954

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title = "Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management",

keywords = "Editorials, clinical decision-making, demography, goal, hospital",

author = "Noreen Kamal and Kamakshi Lakshminarayan",

year = "2022",

month = sep,

day = "1",

doi = "10.1161/STROKEAHA.122.039954",

language = "English (US)",

volume = "53",

pages = "2768--2769",

journal = "Stroke",

issn = "0039-2499",

publisher = "Lippincott Williams and Wilkins",

number = "9",

}

TY - JOUR

T1 - Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management

AU - Kamal, Noreen

AU - Lakshminarayan, Kamakshi

PY - 2022/9/1

Y1 - 2022/9/1

KW - Editorials

KW - clinical decision-making

KW - demography

KW - goal

KW - hospital

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U2 - 10.1161/STROKEAHA.122.039954

DO - 10.1161/STROKEAHA.122.039954

M3 - Editorial

C2 - 35862207

AN - SCOPUS:85136532511

SN - 0039-2499

VL - 53

SP - 2768

EP - 2769

JO - Stroke

JF - Stroke

IS - 9

ER -

Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management

Keywords

UN SDGs

Publisher link

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