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2025
Mark Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Schubert, Alexander Marcel ; Lingman, Markus and Khoshnood, Ardavan M. ^LU (2025) In International Journal of Medical Informatics 202(October 2025).
- Contribution to journal › Article
2024
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
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
2023
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
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
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

your query:: Remove project: Resource Management in the Emergency Department by using Machine Learning