Research output per year
Research output per year
Personal profile
Research interests
My current research interests belong to the area of artificial intelligence for medicine and include machine learning, deep learning, Semantic Web for healthcare. Notably my research focuses on prognostic models that combines structured and unstructured data, such as text and knowledge graphs.
Specialisation
Medical Informatics, Artificial Intelligence for Medicine, Health Data Science, Machine Learning
Education/Academic qualification
PhD
External positions
APH - Methodology
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands
Dutch COVID-19 Research Consortium, 1 Apr 2022, In: International Journal of Medical Informatics. 160, 104688.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit
Vagliano, I., Byrne Salsas, C., Wünn, T. & Schut, M. C., 29 Jun 2022, In: Studies in health technology and informatics. 295, p. 148-151 4 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care
Vagliano, I., Hsu, W-H. & Schut, M. C., 14 Jan 2022, In: Studies in health technology and informatics. 289, p. 329-332 4 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Interpretable and continuous prediction of acute kidney injury in the intensive care
Vagliano, I., Lvova, O. & Schut, M. C., 1 Jul 2021, Public Health and Informatics: Proceedings of MIE 2021. IOS Press, p. 103-107 5 p.Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review
Open Access -
MO360MACHINE LEARNING MODELS FOR PREDICTING ACUTE KIDNEY INJURY: A SYSTEMATIC REVIEW
Vagliano, I., Chesnaye, N., Leopold, J. H., Jager, K. J., Abu Hanna, A. & Schut, M. C., 1 May 2021, In: Nephrology Dialysis Transplantation. 36, Supplement_1Research output: Contribution to Journal › Article › Academic › peer-review