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PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE.
Alitto AR, Gatta R, Vanneste B, Vallati M, Meldolesi E, Damiani A, Lanzotti V, Mattiucci GC, Frascino V, Masciocchi C, Catucci F, Dekker A, Lambin P, Valentini V, Mantini G. Alitto AR, et al. Among authors: vallati m. Future Oncol. 2017 Oct;13(24):2171-2181. doi: 10.2217/fon-2017-0142. Epub 2017 Jul 31. Future Oncol. 2017. PMID: 28758431
What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper.
Gatta R, Vallati M, Fernandez-Llatas C, Martinez-Millana A, Orini S, Sacchi L, Lenkowicz J, Marcos M, Munoz-Gama J, Cuendet MA, de Bari B, Marco-Ruiz L, Stefanini A, Valero-Ramon Z, Michielin O, Lapinskas T, Montvila A, Martin N, Tavazzi E, Castellano M. Gatta R, et al. Among authors: vallati m. Int J Environ Res Public Health. 2020 Sep 11;17(18):6616. doi: 10.3390/ijerph17186616. Int J Environ Res Public Health. 2020. PMID: 32932877 Free PMC article.
Could machine learning improve the prediction of pelvic nodal status of prostate cancer patients? Preliminary results of a pilot study.
De Bari B, Vallati M, Gatta R, Simeone C, Girelli G, Ricardi U, Meattini I, Gabriele P, Bellavita R, Krengli M, Cafaro I, Cagna E, Bunkheila F, Borghesi S, Signor M, Di Marco A, Bertoni F, Stefanacci M, Pasinetti N, Buglione M, Magrini SM. De Bari B, et al. Among authors: vallati m. Cancer Invest. 2015 Jul;33(6):232-40. doi: 10.3109/07357907.2015.1024317. Epub 2015 May 7. Cancer Invest. 2015. PMID: 25950849
13 results