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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
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Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
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Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
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Mark
The skåne emergency medicine (SEM) cohort
(
- Contribution to journal › Article
-
Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
- 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
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Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
2023) Swedish Emergency Medicine Talks - SWEETS23(
- Contribution to conference › Poster
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
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- Contribution to journal › Article
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Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
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Mark
Deep learning prediction models based on EHR trajectories : A systematic review
(
- Contribution to journal › Scientific review