Irene POLI

Slanzi, Debora; Poli, Irene; Jones, Roger D.; Mayer, Gert The combination of expert knowledge and Bayesian networks to identify the relevant factors in diabetic kidney disease (DKD) in STATISTICA APPLICATA, vol. 35, pp. 389-394 (ISSN 2038-5587)
DOI 2025, Articolo su rivista - Scheda ARCA: 10278/5110207

Abebe, Seyum; Poli, Irene; Jones, Roger D.; Slanzi, Debora Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning in MACHINE LEARNING AND KNOWLEDGE EXTRACTION, vol. 6, pp. 1798-1817 (ISSN 2504-4990)
DOI 2024, Articolo su rivista - Scheda ARCA: 10278/5069103

Slanzi, Debora; Silvestri, Claudio; Poli, Irene; Mayer, Gert Exploiting the Potential of Bayesian Networks in Deriving New Insight into Diabetic Kidney Disease (DKD) in Villani, M., Cagnoni, S., Serra, R., Artificial Life and Evolutionary Computation. WIVACE 2023., Springer, vol. 1977, pp. 298-308 (ISBN 9783031574290; 9783031574306) (ISSN 1865-0929)
DOI 2024, Articolo su libro - Scheda ARCA: 10278/5054921

Jones, Roger D; Abebe, Seyum; Distefano, Veronica; Mayer, Gert; Poli, Irene; Silvestri, Claudio; Slanzi, Debora Candidate composite biomarker to inform drug treatments for diabetic kidney disease in FRONTIERS IN MEDICINE, vol. 10, pp. 1271407 (ISSN 2296-858X)
DOI 2023, Articolo su rivista - Scheda ARCA: 10278/5044320

Mameli, Valentina; Slanzi, Debora; Poli, Irene; Green, Darren V S Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule in PHARMACEUTICAL STATISTICS, vol. 20, pp. 898-915 (ISSN 1539-1604)
DOI 2021, Articolo su rivista - Scheda ARCA: 10278/3738547

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