Titre:
  • Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
Auteur:Song, Long; Edib, Zobaida; Aickelin, Uwe; Akbarzadeh Khorshidi, Hadi; Hamy-Petit, Anne Sophie; Jayasinghe, Yasmin; Hickey, Martha; Anderson, Richard R.A.; Lambertini, Matteo Md Phd M.; Condorelli, Margherita; Demeestere, Isabelle; Ignatiadis, Michail; Pistilli, Barbara; Su, Hui Irene; Chang, Shanton; Pang, Patrick Cheong Iao; Reyal, F.; Nelson, Scott S.M.; Sukumvanich, Paniti; Minisini, Alessandro Marco; Puglisi, Fabio; Ruddy, Kathryn K.J.; Couch, Fergus F.J.; Olson, Janet J.E.; Stern, Kate; Agresta, Franca; Stafford, Lesley; Chin-Lenn, Laura; Cui, Wanda; Anazodo, Antoinette; Gorelik, Alexandra; Nguyen, Tuong Linh; Partridge, Ann A.H.; Saunders, Christobel; Sullivan, Elizabeth; Macheras-Magias, Mary; Peate, Michelle
Informations sur la publication:Bioengineering, 12, 11, 1171
Statut de publication:Publié, 2025-11-01
Sujet CREF:Gynécologie
Cancérologie
Sciences biomédicales
Mots-clés:breast cancer
cross imputation
machine learning
risk prediction model
treatment-related amenorrhea
Note générale:SCOPUS: ar.j
Langue:Anglais
Identificateurs:urn:issn:2306-5354
info:doi/10.3390/bioengineering12111171
info:scp/105023448012