Jakob Lundager Forberg
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- 2009
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Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
(
- Contribution to journal › Article
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Mark
Negative predictive value and potential cost savings of acute nuclear myocardial perfusion imaging in low risk patients with suspected acute coronary syndrome : A prospective single blinded study
(
- Contribution to journal › Article
- 2008
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Mark
Subarachnoid hemorrhage induces upregulation of vascular receptors and reduction in rCBF via an ERKI/2 mechanism
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
2008) International Conference on Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Circadian presentation patterns and ECGs of men and women with suspected acute coronary syndrome in the emergency department
2008) National Meeting in Emergency Medicine, 2008(
- Contribution to conference › Poster
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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
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Mark
New methods for improved evaluation of patients with suspected acute coronary syndrome in the emergency department
(
- Contribution to journal › Scientific review
- 2007
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Mark
Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome.
(
- Contribution to journal › Article
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Mark
Prestanda av Troponin T och CKMB på akutmottagningen för att diagnostisera akut koronart syndrom
2007) The National Meeting in Emergency Medicine, 2007(
- Contribution to conference › Poster
- 2006
-
Mark
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
(
- Contribution to journal › Article