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2024
Mark How does an AI diagnose dyspnoea in ED triage without human guidance?
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2024) Swedish Emergency Medicine Talks - SWEETS24
- Contribution to conference › Poster
Mark A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Heyman, Ellen T. ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2024) In PLoS ONE 19(12).
- Contribution to journal › Article
2023
Mark Health-related quality of life and long-term symptoms among patients with non-severe covid-19–a prospective cohort study
Löfström, Emma ^LU ; Kunkel, Stefan ; Kötz, Arne ; Lingman, Markus ; Undén, Johan ^LU and Nygren, Jens M. (2023) In Infectious Diseases 55(4). p.272-281
- Contribution to journal › Article
Mark Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2023) European Emergency Medicine Congress 2023
- Contribution to conference › Poster
Mark Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Dahlén Holmqvist, Lina ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2023) Swedish Emergency Medicine Talks - SWEETS23
- Contribution to conference › Poster
2021
Mark Likelihood of admission to hospital from the emergency department is not universally associated with hospital bed occupancy at the time of admission
Tolestam Heyman, Ellen ^LU ; Engström, Martin ^LU ; Baigi, Amir ^LU ; Dahlén Holmqvist, Lina and Lingman, Markus (2021) In International Journal of Health Planning and Management 36(2). p.353-363
- Contribution to journal › Article
Mark Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Heyman, Ellen Tolestam ^LU ; Ashfaq, Awais ; Khoshnood, Ardavan ^LU ; Ohlsson, Mattias ^LU ; Ekelund, Ulf ^LU ; Holmqvist, Lina Dahlén and Lingman, Markus (2021) In Journal of Emergency Medicine 61(6). p.763-773
- Contribution to journal › Article
Mark Dynamics of IgG-avidity and antibody levels after Covid-19
Löfström, Emma ^LU ; Eringfält, Anna ; Kötz, Arne ; Wickbom, Fredrik ^LU ; Tham, Johan ^LU ; Lingman, Markus ; Nygren, Jens M. ^LU and Undén, Johan ^LU (2021) In Journal of Clinical Virology 144.
- Contribution to journal › Article
2020
Mark Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
Galozy, Alexander ; Nowaczyk, Slawomir ^LU ; Sant'Anna, Anita ; Ohlsson, Mattias ^LU and Lingman, Markus (2020) In International Journal of Medical Informatics 136.
- Contribution to journal › Article
2018
Mark Long-Term Effects of Oxygen Therapy on Death or Hospitalization for Heart Failure in Patients With Suspected Acute Myocardial Infarction
Jernberg, Tomas ; Lindahl, Bertil ; Alfredsson, Joakim ; Berglund, Ellinor ; Bergström, Olle ; Engström, Anders ; Erlinge, David ^LU ; Herlitz, Johan ; Jumatate, Raluca ^LU and Kellerth, Thomas , et al. (2018) In Circulation 138(24). p.2754-2762
- Contribution to journal › Article

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