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Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross sectional cohort ...

Dataset: Series

Persons and affiliations

  • Christina Pamporaki - , Department of Internal Medicine III (Creator)
  • Annika MA Berends - , University Medical Center Groningen (Creator)
  • Angelos Filippatos - , University of Patras (Creator)
  • Tamara Prodanov - , National Institutes of Health (NIH) (Creator)
  • Leah Meuter - , National Institutes of Health (NIH) (Creator)
  • Aleksander Prejbisz - , Cardinal Stefan Wyszynski Institute of Cardiology (Creator)
  • Felix Beuschlein - , Ludwig Maximilian University of Munich (Creator)
  • Martin Fassnacht - , University of Würzburg (Creator)
  • Henri J.L.M. Timmers - , Radboud University Nijmegen (Creator)
  • Svenja Nölting - , Ludwig Maximilian University of Munich (Creator)
  • Kaushik Ganesh Abhyankar - , Institute of Lightweight Engineering and Polymer Technology (Creator)
  • Andreea Georgiana Constantinescu - , Department of Internal Medicine III (Creator)
  • Carola Kunath - , TUD Dresden University of Technology (Creator)
  • Robbert J. de Haas - , University of Groningen (Creator)
  • Katharina Wang - , Ludwig Maximilian University of Munich (Creator)
  • Hanna Remde - , University of Würzburg (Creator)
  • Stefan Bornstein - , Department of Internal Medicine III (Creator)
  • Andrzeij Januszewicz - , Cardinal Stefan Wyszynski Institute of Cardiology (Creator)
  • Mercedes Robledo - , Centro Nacional de Investigaciones Oncológicas (Creator)
  • Jacques W.M. Lenders - , TUD Dresden University of Technology (Creator)
  • Michiel N Kerstens - , University Medical Center Groningen (Creator)
  • Karel Pacak - , National Institutes of Health (NIH) (Creator)
  • Graeme Eisenhofer - , Department of Internal Medicine III (Creator)

Related content

Prediction of metastatic pheochromocytoma and paraganglioma: A machine learning modelling study using data from a cross-sectional cohort

Pamporaki, C., Berends, A. M. A., Filippatos, A., Prodanov, T., Meuter, L., Prejbisz, A. & Beuschlein, F. & 16 others, Fassnacht, M., Timmers, H. J. L. M., Nölting, S., Abhyankar, K., Constantinescu, G., Kunath, C., de Haas, R. J., Wang, K., Remde, H., Bornstein, S. R., Januszewicz, A., Robledo, M., Lenders, J. W. M., Kerstens, M. N., Pacak, K. & Eisenhofer, G., Sept 2023, In: The Lancet : Digital health. 5, 9, p. e551-e559 9 p.

Research output: Contribution to journalResearch articleContributedpeer-review

Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross sectional cohort ...

Pamporaki, C., Berends, A. M. A., Filippatos, A., Prodanov, T., Meuter, L., Prejbisz, A. & Beuschlein, F. & 16 others, Fassnacht, M., Timmers, H. J. L. M., Nölting, S., Abhyankar, K., Constantinescu, G., Kunath, C., de Haas, R. J., Wang, K., Remde, H., Bornstein, S. R., Januszewicz, A., Robledo, M., Lenders, J. W. M., Kerstens, M. N., Pacak, K. & Eisenhofer, G., 19 Mar 2023, Zenodo.

Research output: Other contributionOtherContributed