Benjamin Skov Kaas-Hansen

Benjamin Skov Kaas-Hansen

Assistant lecturer

ORCID: 0000-0003-1023-0371

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  1. Published

    Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

    Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, A. B., Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.

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

  2. Published

    Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

    Thorsen-Meyer, H., Nielsen, A. B., Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.

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

  3. Published

    Abnormal serum levels of magnesium, phosphate, and zinc in ICU patients—Characteristics, management, and outcomes: The WhyTrace cohort study

    Vesterlund, G. K., Thorsen-Meyer, H. C., Møller, Morten Hylander, Brunak, Søren, Strøm, T., Perner, Anders & Kaas-Hansen, Benjamin Skov, 2023, In: Acta Anaesthesiologica Scandinavica. 67, 7, p. 925-935 11 p.

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

  4. Published

    Low serum levels of magnesium, phosphate, and zinc in ICU patients. Prevalence, management, characteristics, and outcomes. Protocol and statistical analysis plan for The WhyTrace cohort study

    Vesterlund, G. K., Thorsen-Meyer, H., Kaas-Hansen, Benjamin Skov, Møller, Morten Hylander & Perner, Anders, May 2022, medRxiv.

    Research output: Working paper › Preprint › Research

  5. Published

    Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

    Williams, R. D., Markus, A. F., Yang, C., Duarte-Salles, T., DuVall, S. L., Falconer, T., Jonnagaddala, J., Kim, C., Rho, Y., Williams, A. E., Machado, A. A., An, M. H., Aragón, M., Areia, C., Burn, E., Choi, Y. H., Drakos, I., Abrahão, M. T. F., Fernández-Bertolín, S., Hripcsak, G. & 28 others, Kaas-Hansen, Benjamin Skov, Kandukuri, P. L., Kors, J. A., Kostka, K., Liaw, S., Lynch, K. E., Machnicki, G., Matheny, M. E., Morales, D., Nyberg, F., Park, R. W., Prats-Uribe, A., Pratt, N., Rao, G., Reich, C. G., Rivera, M., Seinen, T., Shoaibi, A., Spotnitz, M. E., Steyerberg, E. W., Suchard, M. A., You, S. C., Zhang, L., Zhou, L., Ryan, P. B., Prieto-Alhambra, D., Reps, J. M. & Rijnbeek, P. R., 2022, In: BMC Medical Research Methodology. 22, 13 p., 35.

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

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ID: 185059892