Markus Lingman
Goeteborg, O, Sweden
Last Updated: 09/26/2026
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Found 28 publications
Differences in chronic kidney disease management based on identification and diagnosis in a population-based observational study.
Journal: Journal of nephrology
Published: March 22, 2025
An ECG biomarker for sudden cardiac death discovered with deep learning.
Journal: Nature
Published: March 04, 2025
Data Resource Profile: Paediatric Regional Healthcare Information Platform in Halland, Sweden.
Journal: International journal of epidemiology
Published: October 08, 2024
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.
Journal: International journal of medical informatics
Published: July 11, 2024
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system.
Journal: PloS one
Published: March 17, 2024
Characteristics, management and outcomes in patients with CKD in a healthcare region in Sweden: a population-based, observational study.
Journal: BMJ open
Published: July 21, 2023
The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study.
Journal: Journal of medical Internet research
Published: March 02, 2023
Health-related quality of life and long-term symptoms among patients with non-severe covid-19 - a prospective cohort study.
Journal: Infectious diseases (London, England)
Published: February 09, 2023
Synthetic electronic health records generated with variational graph autoencoders.
Journal: NPJ digital medicine
Published: October 12, 2022
Clinical presentation in EMS patients with acute chest pain in relation to sex, age and medical history: prospective cohort study.
Journal: BMJ open
Published: August 08, 2022
The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort study.
Journal: Scandinavian journal of trauma, resuscitation and emergency medicine
Published: March 08, 2022
Development of a prehospital prediction model for risk stratification of patients with chest pain.
Journal: The American journal of emergency medicine
Published: September 02, 2021
Last Updated: 09/26/2026