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- 2023
-
Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
de Capretz, Pontus Olsson LU ; Björkelund, Anders LU ; Björk, Jonas LU ; Ohlsson, Mattias LU
; Mokhtari, Arash
LU
; Nyström, Axel
LU
and Ekelund, Ulf
LU
(2023)
In BMC Medical Informatics and Decision Making
23(1).
- Contribution to journal › Article
- 2022
-
Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
André, Lars ; Björkelund, Anders LU ; Ekelund, Ulf LU
; Vedin, Tomas
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
and Lundager Forberg, Jakob
LU
(2022)
Swedish Emergency Medicine Talks 2022
- Contribution to conference › Poster
-
Mark
Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
Haziri, Donika ; Björkelund, Anders LU ; Ekelund, Ulf LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
and Lundager Forberg, Jakob
LU
(2022)
Swedish Emergency Medicine Talks 2022
- Contribution to conference › Poster
- 2021
-
Mark
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
Björkelund, Anders LU ; Ohlsson, Mattias LU
; Lundager Forberg, Jakob
LU
; Mokhtari, Arash
LU
; Olsson de Capretz, Pontus
LU
; Ekelund, Ulf
LU
and Björk, Jonas
LU
(2021)
In Journal of the American college of emergency physicians open
2(2).
- Contribution to journal › Article
- 2012
-
Mark
An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
Forberg, Jakob L LU ; Khoshnood, Ardavan LU
; Green, Michael
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Jovinge, Stefan
LU
; Edenbrandt, Lars
LU
and Ekelund, Ulf
LU
(2012)
In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
20(1).
p.1-9
- Contribution to journal › Article
-
Mark
Risk predictions for individual patients from logistic regression were visualized with bar-line charts.
Björk, Jonas LU ; Ekelund, Ulf LU
and Ohlsson, Mattias
LU
(2012)
In Journal of Clinical Epidemiology
65.
p.335-342
- Contribution to journal › Article
- 2009
-
Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
Green, Michael LU ; Ekelund, Ulf LU
; Edenbrandt, Lars
LU
; Björk, Jonas
LU
; Lundager Hansen, Jakob
LU
and Ohlsson, Mattias
LU
(2009)
In Neural Networks
22(1).
p.75-81
- Contribution to journal › Article
-
Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
Forberg, Jakob L LU ; Green, Michael LU ; Björk, Jonas LU ; Ohlsson, Mattias LU
; Edenbrandt, Lars
LU
; Öhlin, Hans
LU
and Ekelund, Ulf
LU
(2009)
In Journal of Electrocardiology
42(1).
p.58-63
- Contribution to journal › Article
- 2008
-
Mark
Comments on Practical experiences on the necessity of external validation by I. R. König, J. D. Malley, C. Weimar, H.-C. Diener and A. Ziegler, Statistics in Medicine, DOI: 10.1002/sim.3069
Björk, Jonas LU ; Green, Michael LU and Ekelund, Ulf LU
(2008)
In Statistics in Medicine
27(14).
p.2737-2738
- Contribution to journal › Letter
-
Mark
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
Green, Michael LU ; Ekelund, Ulf LU
; Edenbrandt, Lars
LU
; Björk, Jonas
LU
; Lundager Hansen, Jakob
LU
and Ohlsson, Mattias
LU
(2008)
International Conference on Machine Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding