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Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2-positive breast cancer patients: A machine learning approach

Document Type

Article

Author

Fanizzi, A.; Latorre, A.; Bavaro, D.A.; Bove, S.; Comes, M.C.; Di Benedetto, E.F.; Fadda, F.; La Forgia, D.; Giotta, F.; Palmiotti, G.; Petruzzellis, N.; Rinaldi, L.; Rizzo, A.; Lorusso, V.; Massafra, R.

Source

In: Cancer Medicine. (Cancer Medicine, November 2023, 12(22):20663-20669)

Subject

Language

English

ISSN

20457634

Online Access

Full Text (ProQuest Central) Full Text (Gale Academic Onefile) Open Access (Wiley) Open Access (EBSCO) Web of Science JCR 저널정보 Scopus Find it@PNU

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