Search Results - Haue, Amalie D

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  1. 1
    Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients

    Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients by Siggaard, Troels, Reguant, Roc, Jørgensen, Isabella F., Haue, Amalie D., Lademann, Mette, Aguayo-Orozco, Alejandro, Hjaltelin, Jessica X., Jensen, Anders Boeck, Banasik, Karina, Brunak, Søren

    Published in Nature communications
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  2. 2
    Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

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

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  3. 3
    TAILS N-terminomics and proteomics reveal complex regulation of proteolytic cleavage by O-glycosylation

    TAILS N-terminomics and proteomics reveal complex regulation of proteolytic cleavage by O-glycosylation by King, Sarah L., Goth, Christoffer K., Eckhard, Ulrich, Joshi, Hiren J., Haue, Amalie D., Vakhrushev, Sergey Y., Schjoldager, Katrine T., Overall, Christopher M., Wandall, Hans H.

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  4. 4
    Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study

    Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study by Haue, Amalie D, Armenteros, Jose J Almagro, Holm, Peter C, Eriksson, Robert, Moseley, Pope L, Køber, Lars V, Bundgaard, Henning, Brunak, Søren

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  5. 5
    Cohort profile: Copenhagen Hospital Biobank - Cardiovascular Disease Cohort (CHB-CVDC): Construction of a large-scale genetic cohort to facilitate a better understanding of heart diseases

    Cohort profile: Copenhagen Hospital Biobank - Cardiovascular Disease Cohort (CHB-CVDC): Construction of a large-scale genetic cohort to facilitate a better understanding of heart d... by Laursen, Ina H, Banasik, Karina, Haue, Amalie D, Petersen, Oscar, Holm, Peter C, Westergaard, David, Bundgaard, Henning, Brunak, Søren, Frikke-Schmidt, Ruth, Holm, Hilma, Sørensen, Erik, Thørner, Lise W, Larsen, Margit A H, Schwinn, Michael, Køber, Lars, Torp-Pedersen, Christian, Ostrowski, Sisse R, Erikstrup, Christian, Nyegaard, Mette, Stefánsson, Hreinn, Gylfason, Arnaldur, Zink, Florian, Walters, G Bragi, Oddsson, Asmundur, Þorleifsson, Guðmar, Másson, Gisli, Thorsteinsdottir, Unnur, Gudbjartsson, Daniel, Pedersen, Ole B, Stefánsson, Kári, Ullum, Henrik

    Published in BMJ open
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  6. 6
    Abstract LB550: AI predicts risk of pancreatic cancer from disease trajectories using real-world electronic health records (EHRs) from Denmark and the USA

    Abstract LB550: AI predicts risk of pancreatic cancer from disease trajectories using real-world electronic health records (EHRs) from Denmark and the USA by Placido, Davide, Yuan, Bo, Hjaltelin, Jessica X., Haue, Amalie D., Chmura, Piotr J., Yuan, Chen, Kim, Jihye, Umeton, Renato, Antell, Gregory, Chowdhury, Alexander, Franz, Alexandra, Brais, Lauren, Andrews, Elizabeth, Marks, Debora S., Regev, Aviv, Kraft, Peter, Wolpin, Brian M., Rosenthal, Michael, Brunak, Søren, Sander, Chris

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