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Simon Meyer Lauritsen
Observed names:
Lauritsen, Simon Meyer,
Simon Lauritsen
Observed institutions:
Aarhus University,
Aarhus University Hospital,
Regional Hospital Horsens,
University College London,
Massachusetts Institute of Technology
ORCID:
0000-0001-8823-5047
Observed ORCID:
0000-0001-8823-5047
OpenAlex ID:
A5013420464
Explainable artificial intelligence model to predict acute critical illness from electronic health records
2020
·
Simon Meyer Lauritsen
, Mads Kristensen
, et al.
·
Nature Communications
·
476
PDF
Early detection of sepsis utilizing deep learning on electronic health record event sequences
2020
·
Simon Meyer Lauritsen
, Mads Ellersgaard Kalør
, et al.
·
Artificial Intelligence in Medicine
·
202
PDF
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards
2021
·
Simon Meyer Lauritsen
, Bo Thiesson
, et al.
·
npj Digital Medicine
·
75
PDF
Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations: A Population-Based Cohort Study in Denmark
2023
·
Anders Hammerich Riis
, Pia Kjær Kristensen
, et al.
·
Medical Care
·
19
Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark
2020
·
Anders Hammerich Riis
, Pia Kjær Kristensen
, et al.
·
BMJ Open
·
18
PDF
Artificial intelligence in the clinical setting: Towards actual implementation of reliable outcome predictions
2022
·
Simon Tilma Vistisen
, Tom Joseph Pollard
, et al.
·
European Journal of Anaesthesiology
·
7
Bioreactor for quantification of cell metabolism by MR-hyperpolarization
2015
·
Simon Lauritsen
, Lotte Bonde Bertelsen
, et al.
·
Biomedical Physics & Engineering Express
·
5
xAI-EWS — an explainable AI model predicting acute critical illness
2020
·
Lauritsen, Simon Meyer
·
Research outreach
·
1
PDF
Et sundhedsvæsen i forandring
2020
·
Astrid Ditte Højgaard
, Simon Meyer Lauritsen
·
VBN Forskningsportal (Aalborg Universitet)
Artificial intelligence outperforms early warning scores at detecting sepsis: a retrospective Danish study
2019
·
Lauritsen, Simon Meyer
, Kristensen, Mads
, et al.
Accurate and explainable artificial intelligence for the early prediction of acute critical illness
2019
·
Lauritsen, Simon Meyer
Early Sepsis Detection with Deep Learning on EHR Event Sequences
2019
·
Simon Meyer Lauritsen
, Mads Ellersgaard Kalør
, et al.
·
Dansk Tidsskrift for Akutmedicin
PDF
Kunstig intelligens i sundhedsvæsenet
2019
·
Lauritsen, Simon Meyer
, Lauritsen, Katrine Meyer
In vitro dynamic nuclear polarization study for tracking real-time metabolism in endothelial progenitor cells
2014
·
Lauritsen, Simon Meyer
, Bertelsen, Lotte Bonde
, et al.
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Works count:
17
Citation count:
803
H-index:
6
I10-index:
5
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