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Results: 77
Number of items: 77
  • Open Access
    Hadjisotiriou, S., Coenen, J., Rouwette, E. A. J. A., Nespeca, V., Oreel, T. H., Marchau, V. A. W. J., Vasconcelos, V. V., Quax, R., Wertheim, H. F. L., Olde Rikkert, M. G. M., & Korzilius, H. P. L. M. (2025). Identifying key complex relations between education and healthcare in the Netherlands for future pandemic management. Health research policy and systems, 23, Article 89. https://doi.org/10.1186/s12961-025-01359-z
  • Open Access
    Koloi, A., Rydin, A., Milaneschi, Y., Lamers, F., Bosch, J. A., Pruin, E., van der Laan, S. W., Mishra, P. P., Lehtimäki, T., Kähönen, M., Raitakari, O. T., Fotiadis, D. I., & Quax, R. (2025). Morbidity-bridging metabolic pathways: linking early cardiovascular disease risk and depression symptoms using a multi-modal approach. European Heart Journal Open, 5(3), Article oeaf038. https://doi.org/10.1093/ehjopen/oeaf038
  • Open Access
    Rydin, A. O., Milaneschi, Y., Lamers, F., Quax, R., van de Bunt, N., Koloi, A., Doornbos, B., & Penninx, B. W. J. H. (2025). Trajectories of depressive symptoms, metabolic syndrome, inflammation, and cardiometabolic diseases: A longitudinal Bayesian network approach. Brain, behavior, and immunity, 130, Article 106120. https://doi.org/10.1016/j.bbi.2025.106120
  • van Elteren, C., Sloot, P. M., & Quax, R. (2024). Cascades towards noise-induced transitions on networks revealed using information flows [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.25920853
  • Open Access
    Sloot, P. M. A., Quax, R., & Gu, M. (2024). Natural Information Processing. In D. C. Krakauer (Ed.), Foundational Papers in Complexity Science. - Volume 4: 1989-2000 (pp. 2447-2532). SFI Press. https://doi.org/10.37911/9781947864559.78
  • Open Access
    Gehlen, J., Li, J., Hourican, C., Tassi, S., Mishra, P. P., Lehtimäki, T., Kähönen, M., Raitakari, O., Bosch, J. A., & Quax, R. (2024). Bias in O-Information Estimation. Entropy, 26(10), Article 837. https://doi.org/10.3390/e26100837
  • Open Access
    Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health, 5(5), 542-550. https://doi.org/10.1093/ehjdh/ztae049
  • Open Access
    Oetker, F., Roelofsen, L. A. S., Belleman, R. G., & Quax, R. (2024). CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. III, pp. 195-204). (Lecture Notes in Computer Science; Vol. 14834). Springer. https://doi.org/10.1007/978-3-031-63759-9_24
  • Open Access
    van Elteren, C., Quax, R., & Sloot, P. M. A. (2024). Cascades Towards Noise-Induced Transitions on Networks Revealed Using Information Flows. Entropy, 26(12), Article 1050. https://doi.org/10.3390/e26121050
  • Open Access
    Hourican, C., Li, J., Mishra, P. P., Lehtimäki, T., Mishra, B. H., Kähönen, M., Raitakari, O. T., Laaksonen, R., Keltikangas-Järvinen, L., Juonala, M., & Quax, R. (2024). Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional Datasets. Entropy, 26(11), Article 968. https://doi.org/10.3390/e26110968
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