Amalie Dahl Haue

Amalie Dahl Haue

Postdoc

ORCID: 0000-0001-7656-7976

Publication year:
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11 - 15 out of 15Page size: 10
  1. 2021
  2. Published

    Mapping of truncated O-glycans in cancers of epithelial and non-epithelial origin

    Rømer, T. B., Aasted, Mikkel Koed Møller, Dabelsteen, Sally, Groen, A., Schnabel, J., Tan, E., Pedersen, J. W., Haue, Amalie Dahl & Wandall, Hans H., 2021, In: British Journal of Cancer. 125, 9, p. 1239-1250 12 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 2022
  4. Published

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

    Haue, Amalie Dahl, Armenteros, J. J. A., Holm, Peter Christoffer, Eriksson, R., Moseley, P. L., Køber, Lars Valeur, Bundgård, Henning & Brunak, Søren, 2022, In: Cardiovascular Diabetology. 21, 13 p., 87.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. 2023
  6. Published

    Drug dosage modifications in 24 million in-patient prescriptions covering eight years: A Danish population-wide study of polypharmacy

    Leal Rodríguez, C., Haue, Amalie Dahl, Mazzoni, G., Eriksson, R., Hernansanz Biel, J., Cantwell, Lisa, Westergaard, D., Belling, K. G. & Brunak, Søren, 2023, In: PLOS Digital Health. 2, 9, 27 p., e0000336.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

    Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., Chowdhury, A., Franz, A., Brais, L., Andrews, E., Marks, D. S., Regev, A., Ayandeh, S., Brophy, M. T., Do, N. V., Kraft, P. & 5 others, Wolpin, B. M., Rosenthal, M. H., Fillmore, N. R., Brunak, Søren & Sander, C., 2023, In: Nature Medicine. 29, p. 1113-1122

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. 2024
  9. Published

    Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

    Muse, V. P., Placido, Davide, Haue, Amalie Dahl & Brunak, Søren, 2024, In: BMC Medical Informatics and Decision Making. 24, 62.

    Research output: Contribution to journal › Journal article › Research › peer-review

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ID: 126399775