Thiesson, Bo
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2

Using Explainable Artificial Intelligence to Predict Potent..:

Riis, Anders Hammerich ; Kristensen, Pia Kjær ; Lauritsen, Simon Meyer..
https://pure.au.dk/portal/en/publications/b4e7ab71-bc4f-486d-ab4e-af6f25344054.  , 2023
 
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Automated artificial intelligence-based system for clinical..:

Potapenko, Ivan ; Thiesson, Bo ; Kristensen, Mads...
Potapenko , I , Thiesson , B , Kristensen , M , Hajari , J N , Ilginis , T , Fuchs , J , Hamann , S & la Cour , M 2022 , ' Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration ' , Acta Ophthalmologica , vol. 100 , no. 8 , pp. 927-936 . https://doi.org/10.1111/aos.15133.  , 2022
 
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The Framing of machine learning risk prediction models illu..:

Lauritsen, Simon Meyer ; Thiesson, Bo ; Jørgensen, Marianne Johansson...
Lauritsen , S M , Thiesson , B , Jørgensen , M J , Riis , A H , Espelund , U S , Weile , J B & Lange , J 2021 , ' The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards ' , npj Digital Medicine , vol. 4 , 158 . https://doi.org/10.1038/s41746-021-00529-x.  , 2021
 
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Explainable artificial intelligence model to predict acute ..:

Lauritsen, Simon Meyer ; Kristensen, Mads ; Olsen, Mathias Vassard...
Lauritsen , S M , Kristensen , M , Olsen , M V , Larsen , M S , Lauritsen , K M , Jørgensen , M J , Lange , J & Thiesson , B 2020 , ' Explainable artificial intelligence model to predict acute critical illness from electronic health records ' , Nature Communications , vol. 11 , 3852 . https://doi.org/10.1038/s41467-020-17431-x.  , 2020
 
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Early detection of sepsis utilizing deep learning on electr..:

Lauritsen, Simon Meyer ; Kalør, Mads Ellersgaard ; Kongsgaard, Emil Lund...
Lauritsen , S M , Kalør , M E , Kongsgaard , E L , Lauritsen , K M , Jørgensen , M J , Lange , J & Thiesson , B 2020 , ' Early detection of sepsis utilizing deep learning on electronic health record event sequences ' , Artificial Intelligence in Medicine , vol. 104 , 101820 . https://doi.org/10.1016/j.artmed.2020.101820.  , 2020
 
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