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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
-
Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
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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
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- 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
(
- Contribution to journal › Article
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Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
2023) European Emergency Medicine Congress 2023(
- Contribution to conference › Poster
- 2022
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
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Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- Contribution to journal › Article
- 2021
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Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
-
Mark
Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
2021) In medRxiv(
- Working paper/Preprint › Preprint in preprint archive
-
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
- 2020
-
Mark
Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
(
- Contribution to journal › Article