Machine learning to predict individual patient-reported outcomes at 2-year follow-up for women undergoing cancer-related mastectomy and breast reconstruction (INSPiRED-001)()()

BACKGROUND: Women undergoing cancer-related mastectomy and reconstruction are facing multiple treatment choices where post-surgical satisfaction with breasts is a key outcome. We developed and validated machine learning algorithms to predict patient-reported satisfaction with breasts at 2-year follo...

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Detalles Bibliográficos
Autores principales: Pfob, André, Mehrara, Babak J., Nelson, Jonas A., Wilkins, Edwin G., Pusic, Andrea L., Sidey-Gibbons, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551470/
https://www.ncbi.nlm.nih.gov/pubmed/34619573
http://dx.doi.org/10.1016/j.breast.2021.09.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551470/
https://www.ncbi.nlm.nih.gov/pubmed/34619573
http://dx.doi.org/10.1016/j.breast.2021.09.009

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