ENHANCING THE EFFICIENCY OF A LARGE-SCALE SCOPING REVIEW WITH CROWDSOURCING AND MACHINE-LEARNING METHODOLOGY

被引：0
|
作者：
Zorko, D. J. [1 ,2 ]
Mcnally, J. [3 ,4 ]
Rochwerg, B. [5 ,6 ]
Pinto, N. [7 ]
Couban, R. [8 ]
Hearn, K. O' [4 ]
Choong, K. [2 ,5 ,6 ]
机构：
[1] Hosp Sick Children, Dept Pediat Crit Care Med, Toronto, ON, Canada
[2] McMaster Univ, Dept Pediat, Hamilton, ON, Canada
[3] Childrens Hosp Eastern Ontario, Dept Pediat, Ottawa, ON, Canada
[4] Childrens Hosp, Eastern Ontario Res Inst, Ottawa, ON, Canada
[5] McMaster Univ, Dept Crit Care, Hamilton, ON, Canada
[6] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada
[7] Childrens Hosp Philadelphia, Dept Anesthesiol & Crit Care Med, Philadelphia, PA USA
[8] McMaster Univ, Dept Anesthesia, Hamilton, ON, Canada
来源：
PEDIATRIC CRITICAL CARE MEDICINE | 2022年 / 23卷 / 11期
关键词：
chronic critical illness; critical care; intensive care units; pediatrics; research design;
D O I：
暂无
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
OP023
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页数：1
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