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Prognostic power assessment of clinical parameters to predi..:
Fanizzi, Annarita
;
Latorre, Agnese
;
Bavaro, Domenica Antonia
...
Cancer Medicine. 12 (2023) 22 - p. 20663-20669 , 2023
Link:
https://doi.org/10.1002/cam4.6512
RT Journal T1
Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2‐positive breast cancer patients: A machine learning approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_cam4.6512&Exemplar=1&LAN=DE A1 Fanizzi, Annarita A1 Latorre, Agnese A1 Bavaro, Domenica Antonia A1 Bove, Samantha A1 Comes, Maria Colomba A1 Di Benedetto, Erika Francesca A1 Fadda, Federico A1 La Forgia, Daniele A1 Giotta, Francesco A1 Palmiotti, Gennaro A1 Petruzzellis, Nicole A1 Rinaldi, Lucia A1 Rizzo, Alessandro A1 Lorusso, Vito A1 Massafra, Raffaella PB Wiley YR 2023 SN 2045-7634 SN 2045-7634 JF Cancer Medicine VO 12 IS 22 SP 20663 OP 20669 LK http://dx.doi.org/https://doi.org/10.1002/cam4.6512 DO https://doi.org/10.1002/cam4.6512 SF ELIB - SuUB Bremen
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