Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

Stig Nikolaj Blomberg; Fredrik Folke; Annette Kjær Ersbøll; Helle Collatz Christensen; Christian Torp-Pedersen; Michael R. Sayre; Catherine R. Counts; Freddy K. Lippert

doi:10.1016/j.resuscitation.2019.09.013

Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

Stig Nikolaj Blomberg
, Fredrik Folke
, Annette Kjær Ersbøll
, Helle Collatz Christensen
, Christian Torp-Pedersen
, Michael R. Sayre
, Catherine R. Counts
, Freddy K. Lippert

Emergency Medical Services
University of Copenhagen
Copenhagen University Hospital
Aalborg University
University of Washington
Aalborg University Hospital

Research output: Contribution to journal › Comment/debate › Research › peer-review

Original language	English
Journal	Resuscitation
Volume	144
Pages (from-to)	205-206
ISSN	0300-9572
DOIs	https://doi.org/10.1016/j.resuscitation.2019.09.013
Publication status	Published - Nov 2019

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10.1016/j.resuscitation.2019.09.013

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Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Blomberg, S. N., Folke, F., Ersbøll, A. K., Christensen, H. C., Torp-Pedersen, C., Sayre, M. R., Counts, C. R. & Lippert, F. K., May 2019, In: Resuscitation. 138, p. 322-329
Research output: Contribution to journal › Journal article › Research › peer-review

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Cite this

@article{50e1ef4c394343a9b644852129c8c30f,

title = "Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”",

author = "Blomberg, \{Stig Nikolaj\} and Fredrik Folke and Ersb{\o}ll, \{Annette Kj{\ae}r\} and Christensen, \{Helle Collatz\} and Christian Torp-Pedersen and Sayre, \{Michael R.\} and Counts, \{Catherine R.\} and Lippert, \{Freddy K.\}",

year = "2019",

month = nov,

doi = "10.1016/j.resuscitation.2019.09.013",

language = "English",

volume = "144",

pages = "205--206",

journal = "Resuscitation",

issn = "0300-9572",

publisher = "Elsevier",

}

TY - JOUR

T1 - Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

AU - Blomberg, Stig Nikolaj

AU - Folke, Fredrik

AU - Ersbøll, Annette Kjær

AU - Christensen, Helle Collatz

AU - Torp-Pedersen, Christian

AU - Sayre, Michael R.

AU - Counts, Catherine R.

AU - Lippert, Freddy K.

PY - 2019/11

Y1 - 2019/11

U2 - 10.1016/j.resuscitation.2019.09.013

DO - 10.1016/j.resuscitation.2019.09.013

M3 - Comment/debate

C2 - 31557518

AN - SCOPUS:85073971748

SN - 0300-9572

VL - 144

SP - 205

EP - 206

JO - Resuscitation

JF - Resuscitation

ER -

Reply letter to “Machine learning as a supportive tool to recognize cardiac arrest in emergency calls”

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Related research output

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls

Cite this