Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care

被引：0
|
作者：
Jesper Johnsson
Ola Björnsson
Peder Andersson
Andreas Jakobsson
Tobias Cronberg
Gisela Lilja
Hans Friberg
Christian Hassager
Jesper Kjaergard
Matt Wise
Niklas Nielsen
Attila Frigyesi
机构：
[1] Lund University,Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Helsingborg Hospital
[2] Helsingborg Hospital,Department of Anaesthesiology and Intensive Care
[3] Lund University,Centre for Mathematical Sciences, Mathematical Statistics
[4] Lund University,Department of Energy Sciences, Faculty of Engineering
[5] Lund University,Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Skåne University Hospital
[6] Lund University,Department of Clinical Sciences Lund, Neurology, Skåne University Hospital
[7] Lund University,Department of Clinical Sciences Lund, Intensive and Perioperative Care, Skåne University Hospital
[8] University of Copenhagen,Department of Cardiology, The Heart Centre, Rigshospitalet University Hospital and Department of Clinical Medicine
[9] University Hospital of Wales,Department of Critical Care
来源：
Critical Care | / 24卷
关键词：
Machine learning; Artificial intelligence; Artificial neural networks; Out-of-hospital cardiac arrest; Cerebral performance category; Critical care; Intensive care; Prediction; Prognostication;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Etiological diagnoses of out-of-hospital cardiac arrest survivors admitted to the intensive care unit: Insights from a French registry
    Geri, Guillaume
    Passouant, Olivier
    Dumas, Florence
    Bougouin, Wulfran
    Champigneulle, Benoit
    Arnaout, Michel
    Chelly, Jonathan
    Chiche, Jean-Daniel
    Varenne, Olivier
    Guillemet, Lucie
    Pene, Frederic
    Waldmann, Victor
    Mira, Jean-Paul
    Marijon, Eloi
    Cariou, Alain
    RESUSCITATION, 2017, 117 : 66 - 72
  • [22] The relationship between age and outcome in out-of-hospital cardiac arrest patients
    Andersen, Lars W.
    Bivens, Matthew J.
    Giberson, Tyler
    Giberson, Brandon
    Mottley, J. Lawrence
    Gautam, Shiva
    Salciccioli, Justin D.
    Cocchi, Michael N.
    McNally, Bryan
    Donnino, Michael W.
    RESUSCITATION, 2015, 94 : 49 - 54
  • [23] Early blood transcriptomic signature predicts patients' outcome after out-of-hospital cardiac arrest
    Tissier, Renaud
    Hocini, Hakim
    Tchitchek, Nicolas
    Deye, Nicolas
    Legriel, Stephane
    Pichon, Nicolas
    Daubin, Cedric
    Hermine, Olivier
    Carli, Pierre
    Vivien, Benoit
    Treluyer, Jean-Marc
    Lefebvre, Cecile
    Tisserand, Pascaline
    Dubois-Rande, Jean-Luc
    Berdeaux, Alain
    Ghaleh, Bijan
    Lelievre, Jean-Daniel
    Levy, Yves
    Cariou, Alain
    RESUSCITATION, 2019, 138 : 222 - 232
  • [24] Comparison of four clinical risk scores in comatose patients after out-of-hospital cardiac arrest
    Schmidbauer, Simon
    Rylander, Christian
    Cariou, Alain
    Wise, Matt P.
    Thomas, Matthew
    Keeble, Thomas R.
    Erlinge, David
    Haenggi, Matthias
    Wendel-Garcia, Pedro D.
    Belohlavek, Jan
    Grejs, Anders Morten
    Nielsen, Niklas
    Friberg, Hans
    Dankiewicz, Josef
    RESUSCITATION, 2023, 191
  • [25] Risk scoring systems for early prediction of short-term mortality in resuscitated out-of-hospital cardiac arrest patients
    Thevathasan, Tharusan
    Landmesser, Ulf
    Freund, Anne
    Poess, Janine
    Skurk, Carsten
    Thiele, Holger
    Desch, Steffen
    EXPERT REVIEW OF CARDIOVASCULAR THERAPY, 2025, 23 (1-2) : 5 - 13
  • [26] Fluid balance and outcome in cardiac arrest patients admitted to intensive care unit
    Marie Renaudier
    Jean-Baptiste Lascarrou
    Jonathan Chelly
    Olivier Lesieur
    Jérémy Bourenne
    Paul Jaubert
    Marine Paul
    Grégoire Muller
    Pierre Leprovost
    Thomas Klein
    Mélany Yansli
    Cédric Daubin
    Matthieu Petit
    Nicolas Pichon
    Martin Cour
    Ghada Sboui
    Guillaume Geri
    Alain Cariou
    Wulfran Bougouin
    Critical Care, 29 (1):
  • [27] Value of the TTM risk score for early prognostication of comatose patients after out-of-hospital cardiac arrest in a Swiss university hospital
    Emmanuel, Kagi
    Anjaa, Weck
    Manuela, Iten
    Anja, Levis
    Matthias, Haenggi
    SWISS MEDICAL WEEKLY, 2020, 150
  • [28] Identifying out-of-hospital cardiac arrest patients with no chance of survival: An independent validation of prediction rules
    Hreinsson, Johann P.
    Thorvaldsson, Asgeir P.
    Magnusson, Vidar
    Fridriksson, Brynjar T.
    Libungan, Berglind G.
    Karason, Sigurbergur
    RESUSCITATION, 2020, 146 : 19 - 25
  • [29] Impact of in or out of office hours at admission time on outcome in out-of-hospital cardiac arrest patients
    Genbrugge, Cornelia
    Viaene, Els
    Meex, Ingrid
    De Vadder, Katrien
    Eertmans, Ward
    Boer, Willem
    Jans, Frank
    De Deyne, Cathy
    Dens, Jo
    Ferdinande, Bert
    EUROPEAN JOURNAL OF EMERGENCY MEDICINE, 2017, 24 (04) : 249 - 254
  • [30] Factors predicting the use of therapeutic hypothermia and survival in unconscious out-of-hospital cardiac arrest patients admitted to the ICU
    TW Lindner
    J Langørgen
    K Sunde
    AI Larsen
    JT Kvaløy
    JK Heltne
    T Draegni
    E Søreide
    Critical Care, 17
12345