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Page 1
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.
Int J Mol Sci. 2021 Apr 22;22(9):4394. doi: 10.3390/ijms22094394.
Int J Mol Sci. 2021.
PMID: 33922356
Free PMC article.
Review.
Breast Cancer Prognosis Using a Machine Learning Approach.
Ferroni P, Zanzotto FM, Riondino S, Scarpato N, Guadagni F, Roselli M.
Ferroni P, et al. Among authors: scarpato n.
Cancers (Basel). 2019 Mar 7;11(3):328. doi: 10.3390/cancers11030328.
Cancers (Basel). 2019.
PMID: 30866535
Free PMC article.
Item in Clipboard
Machine learning approach to predict medication overuse in migraine patients.
Ferroni P, Zanzotto FM, Scarpato N, Spila A, Fofi L, Egeo G, Rullo A, Palmirotta R, Barbanti P, Guadagni F.
Ferroni P, et al. Among authors: scarpato n.
Comput Struct Biotechnol J. 2020 Jun 12;18:1487-1496. doi: 10.1016/j.csbj.2020.06.006. eCollection 2020.
Comput Struct Biotechnol J. 2020.
PMID: 32637046
Free PMC article.
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Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients.
Ferroni P, Zanzotto FM, Scarpato N, Riondino S, Nanni U, Roselli M, Guadagni F.
Ferroni P, et al. Among authors: scarpato n.
Med Decis Making. 2017 Feb;37(2):234-242. doi: 10.1177/0272989X16662654. Epub 2016 Aug 19.
Med Decis Making. 2017.
PMID: 27491558
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Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.
Ferroni P, Zanzotto FM, Scarpato N, Riondino S, Guadagni F, Roselli M.
Ferroni P, et al. Among authors: scarpato n.
Dis Markers. 2017;2017:8781379. doi: 10.1155/2017/8781379. Epub 2017 Sep 17.
Dis Markers. 2017.
PMID: 29104344
Free PMC article.
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