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

被引：0

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;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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