BERNASCONI ALICE

Bernasconi, A., Zanga, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). Towards a Transportable Causal Network Model Based on Observational Healthcare Data. In Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023)
co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.67-82). CEUR WORKSHOP PROC. Dettaglio

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). Causal Discovery with Missing Data in a Multicentric Clinical Study. Intervento presentato a: Workshop: Sparse Inference on Complex Networks, Lugano, Svizzera. Dettaglio

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study. Intervento presentato a: HC@AIxIA 2023: 2nd AIxIA Workshop on Artificial Intelligence For Healthcare, Roma, Italia. Dettaglio

Lasalvia, P., Trama, A., Botta, L., Franchi, M., Bernasconi, A. (2023). Developing a comorbidity score in cancer patients using healthcare utilization databases during the COVID-19 pandemic: An experience from Italy. CANCER MEDICINE, 12(8 (April 2023)), 9849-9856 [10.1002/cam4.5540]. Dettaglio

Zanga, A., Bernasconi, A., Lucas, P., Pijnenborg, H., Reijnen, C., Scutari, M., et al. (2023). Causal Discovery with Missing Data in a Multicentric Clinical Study. In Artificial Intelligence in Medicine 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings (pp.40-44). Springer [10.1007/978-3-031-34344-5_5]. Dettaglio