GOCARES
Gothenburg Cardiovascular Machine Learning Studies
Clinical prediction models
Decision support tools in cardiac arrest. Tools are currently enabled for educational use.
SCARS-2
Predict 30-days survival after in-of-hospital cardiac arrest.
Currently updating
SCARS-3
Predict long-term survival at discharge after OHCA.
Currently updating
Principal investigator (PI)
Araz Rawshani, MD, PhD
Associate professor
Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg
Post-doc, doktorander, blivande dokorander
Vibha Gupta (vibha.gupta@gu.se), PhD, Engineer, post doc
Johan Lorentzon (johan.lorentzon@gu.se), MD, PhD student
Fredrik Hessulf (fredrik.hessulf@vgregion.se), MD, PhD
Adam Piasecki, (adam.piasecki@vgregion.se), MD, PhD, post doc
George Lappas (george.lappas@gu.se), senior statistician
Pedram Sultanian (pedram.sultanian@gu.se), MD, PhD student
Edvin Helleryd (edvin.helleryd@gu.se), MD
Erik Andersson, MD cand, Research assistant
Lukas Hilgendorf, MD cand, Research assistant
Emma Junedahl, MD cand, Research assistant
Nellie Hjärtstam, MD cand, Research assistant
Linnea Gustafsson (linnea.gustafsson@vgregion.se), MD, PhD student
Daniella Isaksén (daniella.isaksen@vgregion.se), MD, PhD student
Arvid Gustafsson (arvid.gustafsson@gu.se), Research assistant
Ellen Dejby (ellen.dejby@gu.se), MD, , Research assistant
Gustaf Hellsén (gustaf.hellsen@gu.se), MD, PhD cand
Registerbaserade studier
Kliniska prediktionsmodeller
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Nästa utbildning: Analys av EKG med Transformers i PyTorch
Målgrupp: Forskare som arbetar med AI för bild och signalbehandling.
Datum: 2024-01-05
Plats: Zoom
Föreläsare: Araz Rawshani
Tidigare föreläsningar på temat
Machine Learning med PyTorch-Tabular.
Deploying Clinical Prediction Models on Streamlit
Lilla Forskarskolan
Målgrupp: Forskare och doktorander som lär sig forskningsmetoder
Plats: www.Science.nu
Föreläsare: Araz, Aidin
TRIPS GALLERY
Completed Journeys
Ultricies Tristique Nulla Aliquet
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