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Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management

Johnsson, Jesper LU (2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • docent Djärv, Therese, Karolinska Institutet, Stockholm
organization
publishing date
type
Thesis
publication status
published
subject
keywords
cardiac arrest, out-of-hospital cardiac arrest, functional outcome, targeted temperature management, TTM, machine learning, artificial neural network, Cerebral performance category, prediction, prognostication, ICU, SAPS 3
in
Lund University, Faculty of Medicine Doctoral Dissertation Series
issue
2021:33
pages
139 pages
publisher
Lund University, Faculty of Medicine
defense location
Lokal Hav 1, vån 2, Clarion Hotel & Congress Sea U i Helsingborg. Join by Zoom: https://lu-se.zoom.us/j/64962090052
defense date
2021-05-07 09:00:00
ISSN
1652-8220
ISBN
978-91-8021-039-3
language
English
LU publication?
yes
id
686c8553-35f2-4e44-8f3d-33c212eb2d87
date added to LUP
2021-04-16 18:15:21
date last changed
2021-04-21 08:10:36
@phdthesis{686c8553-35f2-4e44-8f3d-33c212eb2d87,
  author       = {{Johnsson, Jesper}},
  isbn         = {{978-91-8021-039-3}},
  issn         = {{1652-8220}},
  keywords     = {{cardiac arrest; out-of-hospital cardiac arrest; functional outcome; targeted temperature management; TTM; machine learning; artificial neural network; Cerebral performance category; prediction; prognostication; ICU; SAPS 3}},
  language     = {{eng}},
  number       = {{2021:33}},
  publisher    = {{Lund University, Faculty of Medicine}},
  school       = {{Lund University}},
  series       = {{Lund University, Faculty of Medicine Doctoral Dissertation Series}},
  title        = {{Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management}},
  url          = {{https://lup.lub.lu.se/search/files/96759044/Jesper_Johnsson_avhandl_utan_papers.pdf}},
  year         = {{2021}},
}