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- 2024
-
Mark
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
(
- Contribution to journal › Article
-
Mark
The skåne emergency medicine (SEM) cohort
(
- Contribution to journal › Article
- 2022
-
Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
2022) Swedish Emergency Medicine Talks 2022(
- Contribution to conference › Poster
-
Mark
Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
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
(
- 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
(
- Contribution to journal › Article
- 2011
-
Mark
Electrocardiograms of men and women with suspected acute coronary syndrome in the ED
(
- Contribution to conference › Abstract
- 2009
-
Mark
Exploring new possibilities for case based explanation of artificial neural network ensembles
(
- Contribution to journal › Article
-
Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
(
- Contribution to journal › Article
- 2008
-
Mark
Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a cardiac care unit physician
2008) National Meeting in Emergency Medicine, 2008(
- Contribution to conference › Poster