Using machine learning to predict individual patient toxicities from cancer treatments

PURPOSE: Machine learning (ML) is a powerful tool for interrogating datasets and learning relationships between multiple variables. We utilized a ML model to identify those early breast cancer (EBC) patients at highest risk of developing severe vasomotor symptoms (VMS). METHODS: A gradient boosted d...

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Detalles Bibliográficos
Autores principales: Cole, Katherine Marie, Clemons, Mark, McGee, Sharon, Alzahrani, Mashari, Larocque, Gail, MacDonald, Fiona, Liu, Michelle, Pond, Gregory R., Mosquera, Lucy, Vandermeer, Lisa, Hutton, Brian, Piper, Ardelle, Fernandes, Ricardo, Emam, Khaled El
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385785/
https://www.ncbi.nlm.nih.gov/pubmed/35614153
http://dx.doi.org/10.1007/s00520-022-07156-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385785/
https://www.ncbi.nlm.nih.gov/pubmed/35614153
http://dx.doi.org/10.1007/s00520-022-07156-6

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