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- 2024
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Mark
Stabilizing Translucencies : Governing AI transparency by standardization
(
- Contribution to journal › Article
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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
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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
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Mark
Factors most strongly associated with breathlessness in a population aged 50–64 years
(
- Contribution to journal › Article
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Mark
A Single High-Sensitivity Cardiac Troponin T Strategy for Ruling Out Myocardial Infarction
(
- Contribution to journal › Article
- 2023
-
Mark
Four Facets of AI Transparency
2023) p.445-455(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Factors important for health-related quality of life in men and women: The population based SCAPIS study
(
- Contribution to journal › Article
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Mark
Age and sex differences in cause-specific excess mortality and years of life lost associated with COVID-19 infection in the Swedish population
(
- Contribution to journal › Article
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Mark
Identifying the factors most strongly associated to breathlessness in the general population: an evaluation of 465 different factors using machine learning.
2023) European Respiratory Society (ERS) International Congress In European Respiratory Journal 62(Suppl 67). p.5351-5351(
- Contribution to journal › Published meeting abstract