Search Results - S. Brunak

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  1. 1

    Protocol for EHR laboratory data preprocessing and seasonal adjustment using R and RStudio by Victorine P. Muse, Søren Brunak

    Published in STAR Protocols (2024-03-01)
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  2. 2

    Reply to: Immortal time bias in the analysis of drug prescription trajectories by Laust Hvas Mortensen, Søren Brunak

    Published in npj Digital Medicine (2022-12-01)
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  3. 3

    Time-ordered comorbidity correlations identify patients at risk of mis- and overdiagnosis by Isabella Friis Jørgensen, Søren Brunak

    Published in npj Digital Medicine (2021-01-01)
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  4. 4

    The impact of the protein interactome on the syntenic structure of mammalian genomes. by Isa Kristina Kirk, Nils Weinhold, Søren Brunak, Kirstine Belling

    Published in PLoS ONE (2017-01-01)
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  5. 5

    Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases by Victorine P. Muse, Davide Placido, Amalie D. Haue, Søren Brunak

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  6. 6

    Associations of ABO and Rhesus D blood groups with phenome-wide disease incidence: A 41-year retrospective cohort study of 482,914 patients by Peter Bruun-Rasmussen, Morten Hanefeld Dziegiel, Karina Banasik, Pär Ingemar Johansson, Søren Brunak

    Published in eLife (2023-03-01)
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  7. 7

    The robot butler: How and why should we study predictive algorithms and artificial intelligence (AI) in healthcare? by Iben Mundbjerg Gjødsbøl, Anna Kirstine Ringgaard, Peter Christoffer Holm, Søren Brunak, Henning Bundgaard

    Published in Digital Health (2024-03-01)
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  8. 8

    Prediction of disease causing non-synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP. by Morten Bo Johansen, Jose M G Izarzugaza, Søren Brunak, Thomas Nordahl Petersen, Ramneek Gupta

    Published in PLoS ONE (2013-01-01)
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  9. 9

    Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients. by Davide Placido, Hans-Christian Thorsen-Meyer, Benjamin Skov Kaas-Hansen, Roc Reguant, Søren Brunak

    Published in PLOS Digital Health (2023-06-01)
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  10. 10

    Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction by Kaas-Hansen BS, Rodríguez CL, Placido D, Thorsen-Meyer HC, Nielsen AP, Dérian N, Brunak S, Andersen SE

    Published in Clinical Epidemiology (2022-02-01)
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  11. 11

    An Increase in Specialist Treatment for Onychomycosis: An Unexplained Tendency. A Retrospective Study of Patients Treated for Onychomycosis in Danish Hospitals from 1994 to 2018 by Pernille Lindsø Andersen, Isabella Friis Jørgensen, Ditte Marie Lindhardt Saunte, Gregor Borut Jemec, Ole Birger Pedersen, Søren Brunak

    Published in Journal of Fungi (2022-12-01)
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  12. 12

    Identification of odorant-receptor interactions by global mapping of the human odorome. by Karine Audouze, Anne Tromelin, Anne Marie Le Bon, Christine Belloir, Rasmus Koefoed Petersen, Karsten Kristiansen, Søren Brunak, Olivier Taboureau

    Published in PLoS ONE (2014-01-01)
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  13. 13

    Optimizing drug selection from a prescription trajectory of one patient by Alejandro Aguayo-Orozco, Amalie Dahl Haue, Isabella Friis Jørgensen, David Westergaard, Pope Lloyd Moseley, Laust Hvas Mortensen, Søren Brunak

    Published in npj Digital Medicine (2021-10-01)
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  14. 14

    Towards standardization guidelines for in silico approaches in personalized medicine by Brunak Søren, Bjerre Collin Catherine, Eva Ó Cathaoir Katharina, Golebiewski Martin, Kirschner Marc, Kockum Ingrid, Moser Heike, Waltemath Dagmar

    Published in Journal of Integrative Bioinformatics (2020-07-01)
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  15. 15

    Drug dosage modifications in 24 million in-patient prescriptions covering eight years: A Danish population-wide study of polypharmacy. by Cristina Leal Rodríguez, Amalie Dahl Haue, Gianluca Mazzoni, Robert Eriksson, Jorge Hernansanz Biel, Lisa Cantwell, David Westergaard, Kirstine G Belling, Søren Brunak

    Published in PLOS Digital Health (2023-09-01)
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  16. 16

    Stratification of Kidney Transplant Recipients Into Five Subgroups Based on Temporal Disease Trajectories by Isabella F. Jørgensen, PhD, Victorine P. Muse, PhD, Alejandro Aguayo-Orozco, PhD, Søren Brunak, PhD, Søren S. Sørensen, MD, DMsc

    Published in Transplantation Direct (2024-02-01)
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  17. 17

    Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program by Samuel Dagogo-Jack, Søren Brunak, Carlos Lorenzo, Kieren J Mather, Marinella Temprosa, Tibor V Varga, Jinxi Liu, Ronald B Goldberg, Guannan Chen, Xavier Pi-Sunyer

    Published in BMJ Open Diabetes Research & Care (2021-03-01)
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  18. 18

    Using electronic patient records to discover disease correlations and stratify patient cohorts. by Francisco S Roque, Peter B Jensen, Henriette Schmock, Marlene Dalgaard, Massimo Andreatta, Thomas Hansen, Karen Søeby, Søren Bredkjær, Anders Juul, Thomas Werge, Lars J Jensen, Søren Brunak

    Published in PLoS Computational Biology (2011-08-01)
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  19. 19

    Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records by Jessica Xin Hjaltelin, Sif Ingibergsdóttir Novitski, Isabella Friis Jørgensen, Troels Siggaard, Siri Amalie Vulpius, David Westergaard, Julia Sidenius Johansen, Inna M Chen, Lars Juhl Jensen, Søren Brunak

    Published in eLife (2023-11-01)
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  20. 20

    BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus. by Agnete T Lundgaard, Frédéric Burdet, Troels Siggaard, David Westergaard, Danai Vagiaki, Lisa Cantwell, Timo Röder, Dorte Vistisen, Thomas Sparsø, Giuseppe N Giordano, Mark Ibberson, Karina Banasik, Søren Brunak

    Published in PLoS Computational Biology (2023-08-01)
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