23 citations · 44 across the 3 of their papers we have counts for
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cs.LG2021★ 2 cited
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 +4
Objectives: To evaluate the consequences of the framing of machine learning risk prediction models. We evaluate how framing affects model performance and model learning in four dif…
cs.LG2019★ 19 cited
Early detection of sepsis utilizing deep learning on electronic health record event sequences
Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard +4
The timeliness of detection of a sepsis event in progress is a crucial factor in the outcome for the patient. Machine learning models built from data in electronic health records c…