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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...
Autores principales: | Pfob, André, Mehrara, Babak J., Nelson, Jonas A., Wilkins, Edwin G., Pusic, Andrea L., Sidey-Gibbons, Chris |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
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 |
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