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Journal of Clinical Nursing|April 3, 2019
Symptom description in patients with chest pain-A qualitative analysis of emergency medical calls involving high-risk conditionsKristoffer Wibring, Johan Herlitz, Markus Lingman, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|May 8, 2022
The potential of new prediction models for emergency medical dispatch prioritisation of patients with chest pain: a cohort studyKristoffer Wibring, Markus Lingman, Johan Herlitz, et al.
Journal of Biomedical Informatics|July 28, 2019
Readmission prediction using deep learning on electronic health recordsAwais Ashfaq, Anita Sant'Anna, Markus Lingman, et al.
The American Journal of Medicine|March 15, 2011
The impact of hypertension and diabetes on outcome in patients undergoing percutaneous coronary interventionMarkus Lingman, Per Albertsson, Johan Herlitz, et al.
The American Journal of Emergency Medicine|October 18, 2021
Development of a prehospital prediction model for risk stratification of patients with chest painKristoffer Wibring, Markus Lingman, Johan Herlitz, et al.
International Journal of Cardiology|June 29, 2016
Prehospital factors associated with an acute life-threatening condition in non-traumatic chest pain patients - A systematic reviewKristoffer Wibring, Johan Herlitz, Lennart Christensson, et al.
International Journal of Medical Informatics|February 17, 2020
Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computationAlexander Galozy, Slawomir Nowaczyk, Anita Sant'Anna, et al.
Nature|June 24, 2026
An ECG biomarker for sudden cardiac death discovered with deep learningZiad Obermeyer, Alexander Schubert, James Ross, et al.
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