Morten Andersen

Morten Andersen

Professor

Member of:

    ORCID: 0000-0001-7029-2860

    Publication year:
    All
    1 - 8 out of 8Page size: 10
    1. 2023
    2. Published

      Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study

      Shakibfar, Saeed, Andersen, Morten & Sessa, Maurizio, 2023, In: iScience. 26, 7, 16 p., 107027.

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

    3. Published

      Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

      Shakibfar, Saeed, Nyberg, F., Li, H., Zhao, J., Nordeng, H. M. E., Sandve, G. K. F., Pavlovic, M., Hajiebrahimi, M., Andersen, Morten & Sessa, Maurizio, 2023, In: Frontiers in Public Health. 11, 15 p., 1183725.

      Research output: Contribution to journal › Review › Research › peer-review

    4. Published

      Comparative effectiveness of heterologous third dose vaccine schedules against severe covid-19 during omicron predominance in Nordic countries: population based cohort analyses

      Andersson, N. W., Thiesson, E. M., Baum, U., Pihlström, N., Starrfelt, J., Faksová, K., Poukka, E., Lund, L. C., Hansen, C. H., Aakjær, Mia, Kjær, J., Cohet, C., Goossens, M., Andersen, Morten, Hallas, J., Meijerink, H., Ljung, R. & Hviid, Anders Peter, 2023, In: BMJ. 382, 15 p., e074325.

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

    5. Published

      Cox regression using a calendar time scale was unbiased in simulations of COVID-19 vaccine effectiveness & safety

      Lund, L. C., Støvring, H., Pottegård, A., Andersen, Morten & Hallas, J., 2023, In: Journal of Clinical Epidemiology. 156, p. 127-136

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

    6. Published

      Identifying diabetogenic drugs using real world health care databases: A Danish and Australian symmetry analysis

      Lund, L. C., Jensen, P. H., Pottegård, A., Andersen, Morten, Pratt, N. & Hallas, J., 2023, In: Diabetes, Obesity and Metabolism. 25, 5, p. 1311-1320

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

    7. Published

      Impact of 2018 EU Risk Minimisation Measures and Revised Pregnancy Prevention Programme on Utilisation and Prescribing Trends of Medicinal Products Containing Valproate: An Interrupted Time Series Study

      Abtahi, S., Pajouheshnia, R., Durán, C. E., Riera-Arnau, J., Gamba, M., Alsina, E., Hoxhaj, V., Andersen, M., Bartolini, C., Kristiansen, S. B., Brown, J., Hallgreen, C. E., Garcia-Poza, P., Gardarsdottir, H., Gini, R., Girardi, A., Holthuis, E., Huerta, C., Ibánez, L., Limoncella, G. & 8 others, Martín-Pérez, M., Paoletti, O., Roberto, G., Souverein, P., Swart, K. M. A., Wing, K., Sturkenboom, M. & Klungel, O., 2023, In: Drug Safety. 46, 7, p. 689-702

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

    8. Published

      Impact of the 2018 revised Pregnancy Prevention Programme by the European Medicines Agency on the use of oral retinoids in females of childbearing age in Denmark, Italy, Netherlands, and Spain: an interrupted time series analysis

      Durán, C. E., Riera-Arnau, J., Abtahi, S., Pajouheshnia, R., Hoxhaj, V., Gamba, M., Alsina, E., Martin-Perez, M., Garcia-Poza, P., Llorente-Garcia, A., Gonzalez-Bermejo, D., Ibánez, L., Sabaté, M., Vidal, X., Ballarín, E., Sanfélix-Gimeno, G., Rodríguez-Bernal, C., Peiró, S., García-Sempere, A., Sanchez-Saez, F. & 22 others, Ientile, V., Ingrasciotta, Y., Guarneri, C., Tanaglia, M., Tari, M., Herings, R., Houben, E., Swart-Polinder, K., Holthuis, E., Huerta, C., Gini, R., Roberto, G., Bartolini, C., Paoletti, O., Limoncella, G., Girardi, A., Hyeraci, G., Andersen, Morten, Kristiansen, S. B., Hallgreen, Christine Erikstrup, Klungel, O. & Sturkenboom, M., 2023, In: Frontiers in Pharmacology. 14, 12 p., 1207976.

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

    9. Published

      Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study

      Shakibfar, Saeed, Zhao, J., Li, H., Nordeng, H., Lupattelli, A., Pavlovic, M., Sandve, G. K., Nyberg, F., Wettermark, B., Hajiebrahimi, M., Andersen, Morten & Sessa, Maurizio, 2023, In: Frontiers in Public Health. 11, 16 p., :1258840.

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

    ID: 169399129