Projects 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
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
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Leveraging real-world data to optimize pharmacotherapy outcomes in multimorbid patients by using machine learning and knowledge representation methods (LEAPfROG Study)
Klopotowska, J., Cornet, R., Cinà, G., Medlock, S., ten Teije, A., Abu Hanna, A., van Harmelen, F., Dusseljee - Peute, L., Herings, R., Vagliano, I., Lieverse, J., Fernández-Llaneza, D. & Vos, R.
1/11/2022 → 1/11/2027
Project: Research
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Autoencoder-based prediction of ICU clinical codes
Yordanov, T. R., Abu-Hanna, A., Ravelli, A. C. J. & Vagliano, I., 5 Jun 2023, Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Springer, Vol. 13897. p. 57-62 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13897 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU
the Dutch COVID-19 ICU Research Consortium, Frenzel, T., Urlings-Strop, L. C., Dijkhuizen, A., Hené, I. Z. & de Meijer, A. R., 1 Sept 2023, In: Computers in Biology and Medicine. 163, 107146.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care
Brancato, L., Calixto, I., Abu-Hanna, A. & Vagliano, I., 29 Jun 2023, 21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2023). Vol. 305. p. 10-13 4 p. (Studies in health technology and informatics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
Galke, L., Vagliano, I., Franke, B., Zielke, T., Hoffmann, M. & Scherp, A., 1 Jul 2023, In: Neural Networks. 164, p. 156-176 21 p.Research output: Contribution to journal › Article › Academic › peer-review
2 Citations (Scopus) -
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: a systematic review and critical appraisal
Vagliano, I., Dormosh, N., Rios, M., Luik, T. T., Buonocore, T. M., Elbers, P. W. G., Dongelmans, D. A., Schut, M. C. & Abu-Hanna, A., 1 Oct 2023, In: Journal of biomedical informatics. 146, p. 104504 104504.Research output: Contribution to journal › Review article › Academic › peer-review
Open Access
Prizes
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Best paper
Vagliano, Iacopo (Recipient), Byrne Salsas, Carmen (Recipient), Wünn, Tina (Recipient) & Schut, Martinus (Recipient), Jul 2022
Prize: Other distinction
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Best paper
Brancato, Lorenzo (Recipient), Coimbra Alves Cavalcanti Calixto, Iacer (Recipient), Abu Hanna, Ameen (Recipient) & Vagliano, Iacopo (Recipient), Jul 2023
Prize: Other distinction