Explainable artificial intelligence model to predict acute critical illness from electronic health records. - Simon Meyer Lauritsen; Mads Kristensen; Mathias Vassard Olsen; Morten Skaarup Larsen; Katrine Meyer Lauritsen; Marianne Johansson Jørgensen; Jeppe Lange; Bo Thiesson (CoRR, 2019)

Early detection of sepsis utilizing deep learning on electronic health record event sequences. - Simon Meyer Lauritsen; Mads Ellersgaard Kalør; Emil Lund Kongsgaard; Katrine Meyer Lauritsen; Marianne Johansson Jørgensen; Jeppe Lange; Bo Thiesson (Artif. Intell. Medicine, 2020)

The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards. - Simon Meyer Lauritsen; Bo Thiesson; Marianne Johansson Jørgensen; Anders Hammerich Riis; Ulrick Skipper Espelund; Jesper Bo Weile; Jeppe Lange (CoRR, 2021)

The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. - Simon Meyer Lauritsen; Bo Thiesson; Marianne Johansson Jørgensen; Anders Hammerich Riis; Ulrick Skipper Espelund; Jesper Bo Weile; Jeppe Lange (npj Digit. Medicine, 2021)

Ethics in Danish healthcare AI policy: A document analysis. - Victor Vadmand Jensen; Marianne Johansson Jørgensen; Rikke Hagensby Jensen; Jeppe Lange; Jan Wolff; Mette Terp Høybye (Int. J. Medical Informatics, 2025)