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.
Coming soon
SCARS-3
Predict long-term survival at discharge after OHCA.
Coming soon
Principal investigator (PI)
Araz Rawshani
Collaborators/Group
Professor Johan Herlitz
Associate Professor Björn Redfors
Professor Elmir Omerovic
Truls Råmunddal, MD, PhD
Oskar Angerås, MD, PhD
Petur Petursson, MD, PhD
Post-doc, doktorander, blivande dokorander
Johan Lorentzon (johan.lorentzon@gu.se), specialistläkare, doktorand
Fredrik Hessulf (fredrik.hessulf@vgregion.se), specialistläkare, doktorand
George Lappas (george.lappas@gu.se), senior statistician
Pedram Sultanian (pedram.sultanian@gu.se), ST-läkare, doktorand
Edvin Helleryd (edvin.helleryd@gu.se), underläkare, blivande doktorand
Erik Andersson, MDcand, Research Coordinator
Emma Junedahl, MDcand, Research Coordinator
Nellie Hjärtstam, MDCand, Junior Researcher
Sebastian Möller, MD, PhD student
Linnea Gustafsson (linnea.gustafsson@vgregion.se), specialistläkare, doktorand
Daniella Isaksén (daniella.isaksen@vgregion.se), specialistläkare, blivande doktorand
Arvid Gustafsson (arvid.gustafsson@gu.se), forskaramanuens, läkarstudent
Ellen Dejby (ellen.dejby@gu.se), forskaramanuens, läkarstudent
Gustaf Hellsén (gustaf.hellsen@gu.se), forskaramanuens, läkarstudent
Registerbaserade studier
Kliniska prediktionsmodeller
Norway Ultricies Tristique Aliquet
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Semper Duis Attellus
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Nästa Utbildning: Analys av EKG med Convolutional Neural Networks (CNN)
Datum: 2022-04-13
Plats: Zoom
Föreläsare: Araz Rawshani
Föregående utbildningar 2022:
- Tidymodels med R, Edvin Helleryd, GU. Zoom-inspelning.
- Gradient boosting, Magnus Svensson, Chalmers. Zoom-inspelning.
- Kausal inferens, Araz Rawshani. Zoom-inspelning.
TRIPS GALLERY
Completed Journeys
Ultricies Tristique Nulla Aliquet
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