Early detection of sepsis using artificial intelligence: a scoping review protocol

被引：0
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作者：
Ivana Pepic
Robert Feldt
Lars Ljungström
Richard Torkar
Daniel Dalevi
Hanna Maurin Söderholm
Lars-Magnus Andersson
Marina Axelson-Fisk
Katarina Bohm
Bengt Arne Sjöqvist
Stefan Candefjord
机构：
[1] Department of Electrical Engineering,
[2] Chalmers University of Technology,undefined
[3] Department of Computer Science and Engineering,undefined
[4] Chalmers University of Technology,undefined
[5] Department of Infectious Diseases,undefined
[6] Institute of Biomedicine,undefined
[7] Sahlgrenska Academy,undefined
[8] Gothenburg University,undefined
[9] Region Västra Götaland,undefined
[10] Skaraborg Hospital,undefined
[11] Department of Infectious Diseases,undefined
[12] Aweria AB,undefined
[13] PreHospen Centre for Prehospital Research,undefined
[14] University of Borås,undefined
[15] Department of Mathematical Sciences,undefined
[16] Chalmers University of Technology,undefined
[17] Karolinska Institute,undefined
[18] Department of Clinical Science and Education,undefined
[19] South General Hospital,undefined
[20] Department of Emergency medicine,undefined
[21] South General Hospital,undefined
[22] MedTech West,undefined
[23] Sahlgrenska University Hospital,undefined
来源：
Systematic Reviews | / 10卷
关键词：
Sepsis; Artificial intelligence; Machine learning; Prehospital care; Emergency department; Clinical decision support;
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