Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pontus Olsson de Capretz"'
Autor:
Ulf Ekelund, Bodil Ohlsson, Olle Melander, Jonas Björk, Mattias Ohlsson, Jakob Lundager Forberg, Pontus Olsson de Capretz, Axel Nyström, Anders Björkelund
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-8 (2024)
Abstract Background In the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2–3%. Better patient management decisions have the potential to reduce
Externí odkaz:
https://doaj.org/article/c39b95de1a3a465e98262572b54633f5
Autor:
Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Aims In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain patients. Methods and
Externí odkaz:
https://doaj.org/article/a550bab163474917a4877c8eec9b4594
Autor:
Ulf Ekelund, Eric Dryver, Anders Bergenfelz, Pontus Olsson de Capretz, Mohammed Mohammad, Malin Armelin, William D. Dupont
Publikováno v:
BMJ Open, Vol 13, Iss 10 (2023)
Introduction Simulation-based studies indicate that crisis checklist use improves management of patients with critical conditions in the emergency department (ED). An interview-based study suggests that use of an emergency manual (EM)—a collection
Externí odkaz:
https://doaj.org/article/209d2200429d41a4916ad3d4742e049e
Autor:
Anders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, Arash Mokhtari, Pontus Olsson de Capretz, Ulf Ekelund, Jonas Björk
Publikováno v:
Journal of the American College of Emergency Physicians Open, Vol 2, Iss 2, Pp n/a-n/a (2021)
Abstract Objective Computerized decision‐support tools may improve diagnosis of acute myocardial infarction (AMI) among patients presenting with chest pain at the emergency department (ED). The primary aim was to assess the predictive accuracy of m
Externí odkaz:
https://doaj.org/article/3795f9a4b8da476bac54c6c2e7a0c7e3
Autor:
Ulf Ekelund, Pontus Olsson de Capretz
Publikováno v:
The Lancet. Digital health. 4(5)
Autor:
Axel Nyström, Pontus Olsson de Capretz, Anders Björkelund, Jakob Lundager Forberg, Mattias Ohlsson, Jonas Björk, Ulf Ekelund
Publikováno v:
SSRN Electronic Journal.
Autor:
Mattias Ohlsson, Ulf Ekelund, Anders Björkelund, Jakob Lundager Forberg, Jonas Björk, Arash Mokhtari, Pontus Olsson de Capretz
Publikováno v:
Journal of the American College of Emergency Physicians Open
Journal of the American College of Emergency Physicians Open, Vol 2, Iss 2, Pp n/a-n/a (2021)
Journal of the American College of Emergency Physicians Open, Vol 2, Iss 2, Pp n/a-n/a (2021)
Objective Computerized decision‐support tools may improve diagnosis of acute myocardial infarction (AMI) among patients presenting with chest pain at the emergency department (ED). The primary aim was to assess the predictive accuracy of machine le