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Anders Björkelund

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Internal and Emergency Medicine|July 2, 2024
Cohort study of prediction of venous thromboembolism in emergency department patients with extremity symptomsAnders Gottsäter, Ulf Ekelund, Olle Melander, et al.
PLOS Digital Health|October 31, 2025
Transfer learning for predicting acute myocardial infarction using electrocardiogramsAxel Nyström, Anders Björkelund, Mattias Ohlsson, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|May 10, 2024
The prevalence of clinically relevant delayed intracranial hemorrhage in head trauma patients treated with oral anticoagulants is very low: a retrospective cohort register studyLars André, Anders Björkelund, Ulf Ekelund, et al.
Aging Clinical and Experimental Research|December 20, 2025
Risk factors for frequent unplanned hospital visits in older multimorbid patients after an emergency department visit: a retrospective cohort studyAugust Taegil, Anders Björkelund, Anne Ekdahl, et al.
BMC Medical Informatics and Decision Making|February 2, 2023
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentationPontus Olsson de Capretz, Anders Björkelund, Jonas Björk, et al.
Journal of the American College of Emergency Physicians Open|March 29, 2021
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrationsAnders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, et al.
Journal of Electrocardiology|November 25, 2023
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patientsAxel Nyström, Pontus Olsson de Capretz, Anders Björkelund, et al.
Journal of the American College of Emergency Physicians Open|January 22, 2026
Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial IntelligenceAxel Nyström, Anders Björkelund, Henrik Wagner, et al.
Scandinavian Journal of Clinical and Laboratory Investigation|February 13, 2026
Could the combination of fibrinogen and D-dimer improve risk assessment for acute type A aortic dissection in the emergency department?Karl Teurneau-Hermansson, Emilia Norén, Jacob Ede, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|April 26, 2024
The skåne emergency medicine (SEM) cohortUlf Ekelund, Bodil Ohlsson, Olle Melander, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Internal and Emergency Medicine|July 2, 2024
Cohort study of prediction of venous thromboembolism in emergency department patients with extremity symptomsAnders Gottsäter, Ulf Ekelund, Olle Melander, et al.
PLOS Digital Health|October 31, 2025
Transfer learning for predicting acute myocardial infarction using electrocardiogramsAxel Nyström, Anders Björkelund, Mattias Ohlsson, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|May 10, 2024
The prevalence of clinically relevant delayed intracranial hemorrhage in head trauma patients treated with oral anticoagulants is very low: a retrospective cohort register studyLars André, Anders Björkelund, Ulf Ekelund, et al.
Aging Clinical and Experimental Research|December 20, 2025
Risk factors for frequent unplanned hospital visits in older multimorbid patients after an emergency department visit: a retrospective cohort studyAugust Taegil, Anders Björkelund, Anne Ekdahl, et al.
BMC Medical Informatics and Decision Making|February 2, 2023
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentationPontus Olsson de Capretz, Anders Björkelund, Jonas Björk, et al.
Journal of the American College of Emergency Physicians Open|March 29, 2021
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrationsAnders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, et al.
Journal of Electrocardiology|November 25, 2023
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patientsAxel Nyström, Pontus Olsson de Capretz, Anders Björkelund, et al.
Journal of the American College of Emergency Physicians Open|January 22, 2026
Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial IntelligenceAxel Nyström, Anders Björkelund, Henrik Wagner, et al.
Scandinavian Journal of Clinical and Laboratory Investigation|February 13, 2026
Could the combination of fibrinogen and D-dimer improve risk assessment for acute type A aortic dissection in the emergency department?Karl Teurneau-Hermansson, Emilia Norén, Jacob Ede, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|April 26, 2024
The skåne emergency medicine (SEM) cohortUlf Ekelund, Bodil Ohlsson, Olle Melander, et al.
Pageof 2