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Results: 3
Number of items: 3
  • Open Access
    Yordanov, T. R. (2026). Machine learning in cardiovascular disease: Modelling, prediction, and phenotyping. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Yordanov, T. R., Ravelli, A. C. J., Amiri, S., Vis, M., Houterman, S., Van der Voort, S. R., Abu-Hanna, A., & NHR THI Registration Committee (2024). Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies. Frontiers in Cardiovascular Medicine, 11, Article 1399138. https://doi.org/10.3389/fcvm.2024.1399138
  • Open Access
    Hesp, C., Ramstead, M., Constant, A., Badcock, P., Kirchhoff, M., & Friston, K. (2019). A Multi-scale View of the Emergent Complexity of Life: A Free-Energy Proposal. In G. Yordanov Georgiev, J. M. Smart, C. L. Flores Martinez, & M. E. Price (Eds.), Evolution, Development and Complexity: Multiscale Evolutionary Models of Complex Adaptive Systems (pp. 195-227). (Springer Proceedings in Complexity). Springer. https://doi.org/10.1007/978-3-030-00075-2_7
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