Machine learning in intensive care medicine: ready for take-off?

被引:58
作者
Fleuren, Lucas M. [1 ,2 ]
Thoral, Patrick [1 ]
Shillan, Duncan [3 ]
Ercole, Ari [4 ,5 ]
Elbers, Paul W. G. [1 ,5 ]
机构
[1] Vrije Univ Amsterdam, Amsterdam Infect & Immun Inst AI&II,Amsterdam UMC, Amsterdam Med Data Sci AMDS,Amsterdam Cardiovasc, Dept Intens Care Med,Res VUmc Intens Care REVIVE, Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Computat Intelligence Grp, Dept Comp Sci, Amsterdam, Netherlands
[3] Univ Bristol, NIHR Bristol Biomed Res Ctr, Bristol, Avon, England
[4] Univ Cambridge, Div Anaesthesia, Cambridge, England
[5] European Soc Intens Care Med, Data Sci Sect, Brussels, Belgium
关键词
D O I
10.1007/s00134-020-06045-y
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
引用
收藏
页码:1486 / 1488
页数:3
相关论文
共 4 条
[1]  
Heder M., 2017, THE INNOVATION JOURNAL, V22, P1
[2]  
John C.M., 1995, TECHNOLOGY READINESS
[3]   THE NASA TECHNOLOGY PUSH TOWARDS FUTURE SPACE MISSION SYSTEMS [J].
SADIN, SR ;
POVINELLI, FP ;
ROSEN, R .
ACTA ASTRONAUTICA, 1989, 20 :73-77
[4]   Use of machine learning to analyse routinely collected intensive care unit data: a systematic review [J].
Shillan, Duncan ;
Sterne, Jonathan A. C. ;
Champneys, Alan ;
Gibbison, Ben .
CRITICAL CARE, 2019, 23 (01)