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2020 | 2 |
2021 | 1 |
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A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease.
Clin Res Cardiol. 2023 Sep;112(9):1263-1277. doi: 10.1007/s00392-023-02193-5. Epub 2023 Apr 1.
Clin Res Cardiol. 2023.
PMID: 37004526
Free PMC article.
Machine Learning Use for Prognostic Purposes in Multiple Sclerosis.
Seccia R, Romano S, Salvetti M, Crisanti A, Palagi L, Grassi F.
Seccia R, et al.
Life (Basel). 2021 Feb 5;11(2):122. doi: 10.3390/life11020122.
Life (Basel). 2021.
PMID: 33562572
Free PMC article.
Review.
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Data of patients undergoing rehabilitation programs.
Seccia R, Boresta M, Fusco F, Tronci E, Di Gemma E, Palagi L, Mangone M, Agostini F, Bernetti A, Santilli V, Damiani C, Goffredo M, Franceschini M.
Seccia R, et al.
Data Brief. 2020 Mar 16;30:105419. doi: 10.1016/j.dib.2020.105419. eCollection 2020 Jun.
Data Brief. 2020.
PMID: 32258281
Free PMC article.
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Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.
Seccia R, Gammelli D, Dominici F, Romano S, Landi AC, Salvetti M, Tacchella A, Zaccaria A, Crisanti A, Grassi F, Palagi L.
Seccia R, et al.
PLoS One. 2020 Mar 20;15(3):e0230219. doi: 10.1371/journal.pone.0230219. eCollection 2020.
PLoS One. 2020.
PMID: 32196512
Free PMC article.
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