Benjamin Skov Kaas‐Hansen

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen et al. · The Lancet Digital Health · 2020 · 315 citations · Full text

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Jennifer C. E. Lane, James Weaver, Kristin Kostka et al. · The Lancet Rheumatology · 2020 · 151 citations · Full text

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Edward Burn, Seng Chan You, Anthony G. Sena et al. · Nature Communications · 2020 · 107 citations · Full text

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Espen Jimenez‐Solem, Tonny Studsgaard Petersen, Casper Hansen et al. · Scientific Reports · 2021 · 84 citations · Full text

Machine Learning, Prognosis, Ml Models +17

Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study

Edward Burn, Seng Chan You, Anthony G. Sena et al. · 2020 · 48 citations · Full text