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- 2025
-
Mark
Predicting adverse cardiac events at the emergency department : A deep learning approach
2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Risk assessment in suspected acute coronary syndrome with decision support tools and artificial intelligence
2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Chest pain in the emergency department - risk assessment, diagnostics, and outcomes
2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2024
-
Mark
Predicting troponin biomarker elevation from electrocardiograms using a deep neural network
(
- Contribution to journal › Article
-
Mark
Direct Comparison of the European Society of Cardiology 0/1-Hour Vs. 0/2-Hour Algorithms in Patients with Acute Chest Pain
(
- Contribution to journal › Article
-
Mark
Development and psychometric evaluation of an instrument measuring ambulance nurses’ adherence and attitudes to acute chest pain guidelines
(
- Contribution to journal › Article
- 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
(
- Contribution to journal › Article
- 2021
-
Mark
Poor long-term prognosis in patients admitted with strong suspicion of acute myocardial infarction but discharged with another diagnosis
(
- Contribution to journal › Article
- 2020
-
Mark
Emergency Department Chest Pain Patients With or Without Ongoing Pain : Characteristics, Outcome, and Diagnostic Value of the Electrocardiogram
(
- Contribution to journal › Article
-
Mark
Electrocardiographic changes in the differentiation of ischemic and non-ischemic ST elevation
(
- Contribution to journal › Article