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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.
D'Ascenzo F, De Filippo O, Gallone G, Mittone G, Deriu MA, Iannaccone M, Ariza-Solé A, Liebetrau C, Manzano-Fernández S, Quadri G, Kinnaird T, Campo G, Simao Henriques JP, Hughes JM, Dominguez-Rodriguez A, Aldinucci M, Morbiducci U, Patti G, Raposeiras-Roubin S, Abu-Assi E, De Ferrari GM; PRAISE study group. D'Ascenzo F, et al. Lancet. 2021 Jan 16;397(10270):199-207. doi: 10.1016/S0140-6736(20)32519-8. Lancet. 2021. PMID: 33453782
A survey on computational taste predictors.
Malavolta M, Pallante L, Mavkov B, Stojceski F, Grasso G, Korfiati A, Mavroudi S, Kalogeras A, Alexakos C, Martos V, Amoroso D, Di Benedetto G, Piga D, Theofilatos K, Deriu MA. Malavolta M, et al. Eur Food Res Technol. 2022;248(9):2215-2235. doi: 10.1007/s00217-022-04044-5. Epub 2022 May 26. Eur Food Res Technol. 2022. PMID: 35637881 Free PMC article. Review.
Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach.
Pallante L, Korfiati A, Androutsos L, Stojceski F, Bompotas A, Giannikos I, Raftopoulos C, Malavolta M, Grasso G, Mavroudi S, Kalogeras A, Martos V, Amoroso D, Piga D, Theofilatos K, Deriu MA. Pallante L, et al. Among authors: malavolta m. Sci Rep. 2022 Dec 16;12(1):21735. doi: 10.1038/s41598-022-25935-3. Sci Rep. 2022. PMID: 36526644 Free PMC article.