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Results: 10
Number of items: 10
  • Zadorozhny, K., Thoral, P., Elbers, P., & Cinà, G. (2023). Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. In A. Shaban-Nejad, M. Michalowski, & S. Bianco (Eds.), Multimodal AI in Healthcare: A Paradigm Shift in Health Intelligence (pp. 137-153). (Studies in Computational Intelligence; Vol. 1060). Springer. https://doi.org/10.1007/978-3-031-14771-5_10
  • Open Access
    de Hond, A. A. H., Kant, I. M. J., Fornasa, M., Cinà, G., Elbers, P. W. G., Thoral, P. J., Arbous, M. S., & Steyerberg, E. W. (2023). Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model. Critical care medicine, 51(2), 291-300. https://doi.org/10.1097/CCM.0000000000005758
  • Open Access
    Dam, T. A., Hoogendoorn, M., Elbers, P. W. G., & Dutch ICU Data Sharing Against COVID-19 Collaborators (2022). Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning. Annals of intensive care, 12, Article 99. https://doi.org/10.1186/s13613-022-01070-0
  • de Vos, J., Visser, L. A., de Beer, A. A., Fornasa, M., Thoral, P. J., Elbers, P. W. G., & Cinà, G. (2022). The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge. Value in Health, 25(3), 359-367. https://doi.org/10.1016/j.jval.2021.06.018
  • Open Access
    Izdebski, A., Thoral, P. J., Lalisang, R. C. A., McHugh, D. M., Elbers, P. W. G., Cinà, G., & Dutch ICU Data Sharing Against COVID-19 Collaborators (2021). A pragmatic approach to estimating average treatment effects from EHR data: The effect of prone positioning on mechanically ventilated COVID-19 patients. (v1 ed.) https://doi.org/10.48550/arXiv.2109.06707
  • Open Access
    Fleuren, L. M., Fornasa, M., Cinà, G., Hoogendoorn, M., Elbers, P. W. G., & Dutch ICU Data Sharing Against COVID-19 Collaborators (2021). Predictors for extubation failure in COVID-19 patients using a machine learning approach. Critical Care, 25, Article 448. https://doi.org/10.1186/s13054-021-03864-3
  • Open Access
    Ottenhoff, M. C., Ramos, L. A., Potters, W., Hu, S., Thomas, R., Elbers, P., Welling, M., Simsek, S., Wiersinga, W. J., van Wingen, G. A., & The Dutch COVID-PREDICT research group (2021). Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort. BMJ Open, 11(7), Article e047347. https://doi.org/10.1136/bmjopen-2020-047347
  • Open Access
    COVID-PREDICT-werkgroep (2021). Klinisch beloop van covid-19 in Nederland: Een overzicht van 2607 ziekenhuispatiënten uit de eerste golf. Nederlands Tijdschrift voor Geneeskunde, 165(3), Article D5085. https://www.ntvg.nl/artikelen/klinisch-beloop-van-covid-19-nederland
  • Open Access
    Munsterman, L. D. H., Elbers, P. W. G., Ozdemir, A., van Dongen, E. P. A., van Iterson, M., & Ince, C. (2010). Withdrawing intra-aortic balloon pump support paradoxically improves microvascular flow. Critical Care, 14(4), R161. https://doi.org/10.1186/cc9242
  • Open Access
    Elbers, P. W. G. (2010). Focus on flow: imaging the human microcirculation in perioperative and intensive care medicine. [Thesis, fully internal, Universiteit van Amsterdam].
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