Publications

Journal papers

  1. I. Fraterman, S.L.C. Glaser, S. Wilgenhof, S.K. Medlock, H.A. Mallo, R. Cornet, L.V. van de Poll-Franse, A.H. Boekhout, Exploring supportive care and information needs through a proposed eHealth application among melanoma patients undergoing systemic therapy: a qualitative study, Support Care in Cancer (2022) 1-12. https://doi.org/10.1007/s00520-022-07133-z.
  2. E. Parimbelli, S. Wilk, R. Cornet, P. Sniatala, K. Sniatala, S.L.C. Glaser, I. Fraterman, A.H. Boekhout, M. Ottaviano, M. Peleg, A review of AI and data science support for cancer management, Artif. Intell. Med. 117 (2021) 102111. https://doi.org/10.1016/j.artmed.2021.102111.

Conference papers

  1. A. Lisowska, Sz. Wilk, M. Peleg, From Personalized Timely Notification to Healthy Habit Formation: A Feasibility Study of Reinforcement Learning Approaches on Synthetic Data, in: SMARTERCARE 2021. Workshop Proceedings, CEUR-WS, vol. 360, CEUR, 2021, pp. 7-18. [text]
  2. A. Lisowska, S. Lavy, Sz. Wilk, M. Peleg, Personality and Habit Formation: Is There a Link? in: SMARTERCARE 2021. Workshop Proceedings, CEUR-WS, vol. 360, CEUR, 2021, pp. 42-47. [text]
  3. T.M. Buonocore, E. Parimbelli, L. Sacchi, R. Bellazzi, L. Del Campo, S. Quaglini, Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers, in:  MedInfo 2021 Proceedings, 2021. [preprint]
  4. N. Veggiotti, L. Sacchi, M. Peleg, Enhancing the IDEAS framework with ontology: designing digital interventions for improving cancer patients’ wellbeing, in: AMIA Annual Symposium Proceedings, AMIA, 2021. [preprint]
  5. A. Lisowska, S. Wilk, M. Peleg, Catching patient’s attention at the right time to help them undergo behavioural change: stress classification experiment from blood volume pulse, in: A. Tucker, P.H. Abreu, J. Cardoso, P.P. Rodrigues, D. Riaño. (Eds.), Artificial Intelligence in Medicine. AIME 2021, Lecture Notes in Computer Science, vol. 12721, Springer, Cham, 2021: pp. 72–82. https://doi.org/10.1007/978-3-030-77211-6_8. [preprint]
  6. E. Parimbelli, M. Gabetta, G. Lanzola, F. Polce, S. Wilk, D. Glasspool, A. Kogan, R. Leizer, V. Gisko, N. Veggiotti, S. Panzarasa, R. de Groot, M. Ottaviano, L. Sacchi, R. Cornet, M. Peleg, S. Quaglini, CAncer Patients Better Life Experience (CAPABLE) first proof-of-concept demonstration, in: A. Tucker, P.H. Abreu, J. Cardoso, P.P. Rodrigues, D. Riaño. (Eds.), Artificial Intelligence in Medicine. AIME 2021, Lecture Notes in Computer Science, vol. 12721, Springer, Cham, 2021: pp. 298–303. https://doi.org/10.1007/978-3-030-77211-6_34. [preprint]
  7. A. Lisowska, S. Wilk, M. Peleg, Is it a good time to survey you? cognitive load classification from blood volume pulse, in: 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, 2021: pp. 137–141. https://doi.org/10.1109/cbms52027.2021.00061. [preprint]
  8. F. Polce, G. Lanzola, M. Gabetta, E. Parimbelli, S. Wilk, D. Glasspool, R. Leizer, A. Kogan, S. Quaglini, The Case Manager: driving medical reasoning in a distributed environment for home patient monitoring, in: Public Health and Informatics, Studies in Health Technology and Informatics, vol. 281, IOS Press, 2021: pp. 610–614. https://doi.org/10.3233/SHTI210243.
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