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Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care.
Johnsson, Jesper; Björnsson, Ola; Andersson, Peder; Jakobsson, Andreas; Cronberg, Tobias; Lilja, Gisela; Friberg, Hans; Hassager, Christian; Kjaergard, Jesper; Wise, Matt; Nielsen, Niklas; Frigyesi, Attila.
Affiliation
  • Johnsson J; Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Helsingborg Hospital, Lund University, Helsingborg, Sweden. jesper.johnsson@skane.se.
  • Björnsson O; Department of Anaesthesiology and Intensive Care, Helsingborg Hospital, Charlotte Yléns Gata 10, SE-251 87, Helsingborg, Sweden. jesper.johnsson@skane.se.
  • Andersson P; Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden.
  • Jakobsson A; Department of Energy Sciences, Faculty of Engineering, Lund University, Lund, Sweden.
  • Cronberg T; Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Skåne University Hospital, Lund University, Lund, Sweden.
  • Lilja G; Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden.
  • Friberg H; Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Lund University, Lund, Sweden.
  • Hassager C; Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Lund University, Lund, Sweden.
  • Kjaergard J; Department of Clinical Sciences Lund, Intensive and Perioperative Care, Skåne University Hospital, Lund University, Malmö, Sweden.
  • Wise M; Department of Cardiology, The Heart Centre, Rigshospitalet University Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Nielsen N; Department of Cardiology, The Heart Centre, Rigshospitalet University Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Frigyesi A; Department of Critical Care, University Hospital of Wales, Cardiff, UK.
Crit Care ; 24(1): 474, 2020 07 30.
Article in En | MEDLINE | ID: mdl-32731878
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Critical Care / Out-of-Hospital Cardiac Arrest / Hypothermia, Induced Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Crit Care Year: 2020 Type: Article Affiliation country: Sweden
Fulltext
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Critical Care / Out-of-Hospital Cardiac Arrest / Hypothermia, Induced Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Crit Care Year: 2020 Type: Article Affiliation country: Sweden