A.M. (Tuur) Leeuwenberg PhD

A.M. (Tuur) Leeuwenberg PhD

Assistant Professor
A.M. (Tuur) Leeuwenberg PhD
  • Julius Center, dept. Epidemiology & Health Economics



Since 2019, I work as an assistant professor at the Julius Center of the University Medical Center Utrecht. I conducted my PhD research "From Text to Time: Machine Learning Approaches to Temporal Information Extraction from Text" at the LIIR Research Lab of the Computer Science Department, Katholieke Universiteit Leuven, together with Prof. dr. Marie-Francine Moens

My research expertise is in: machine learning, clinical prediction modeling, and natural language processing methodology.

A complete list of my publications can be found here.

Corresponding code and data can be found here.

Research Output (3)

Missing data is poorly handled and reported in prediction model studies using machine learning:a literature review

Nijman S. W.J., Leeuwenberg A. M., Beekers I., Verkouter I., Jacobs J.J.L., Bots M. L., Asselbergs F. W., Moons K. G.M., Debray T. P.A. Feb 2022, In: Journal of Clinical Epidemiology. 142 , p. 218-229 12 p.

Performance of binary prediction models in high-correlation low-dimensional settings:a comparison of methods

Leeuwenberg Artuur M, van Smeden Maarten, Langendijk Johannes A, van der Schaaf Arjen, Mauer Murielle E, Moons Karel G M, Reitsma Johannes B, Schuit Ewoud 11 Jan 2022, In: Diagnostic and Prognostic Research. 6

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare:a scoping review

de Hond Anne A.H., Leeuwenberg Artuur M., Hooft Lotty, Kant Ilse M.J., Nijman Steven W.J., van Os Hendrikus J.A., Aardoom Jiska J., Debray Thomas P.A., Schuit Ewoud, van Smeden Maarten, Reitsma Johannes B., Steyerberg Ewout W., Chavannes Niels H., Moons Karel G.M. 10 Jan 2022, In: NPJ DIGITAL MEDICINE. 5

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