Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room. - Michael Green; Jonas Björk; Jakob Lundager Forberg; Ulf Ekelund; Lars Edenbrandt; Mattias Ohlsson (Artif. Intell. Medicine, 2006)

A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department. - Jonas Björk; Jakob Lundager Forberg; Mattias Ohlsson; Lars Edenbrandt; Hans Öhlin; Ulf Ekelund (BMC Medical Informatics Decis. Mak., 2006)

Exploring new possibilities for case-based explanation of artificial neural network ensembles. - Michael Green; Ulf Ekelund; Lars Edenbrandt; Jonas Björk; Jakob Lundager Forberg; Mattias Ohlsson (Neural Networks, 2009)

A method to compare new and traditional accelerometry data in physical activity monitoring. - Vincent T. van Hees; Marcelo Pias; Salman Taherian; Ulf Ekelund; Søren Brage (WOWMOM, 2010)

Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. - Pontus Olsson de Capretz; Anders Björkelund; Jonas Björk; Mattias Ohlsson; Arash Mokhtari; Axel Nyström; Ulf Ekelund (BMC Medical Informatics Decis. Mak., 2023)

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. - Ellen T. Heyman; Awais Ashfaq; Ulf Ekelund; Mattias Ohlsson; Jonas Björk; Alexander Marcel Schubert; Markus Lingman; Ardavan M. Khoshnood (Int. J. Medical Informatics, 2025)