Personalized breast cancer onset prediction from lifestyle and health history information

We propose a method to predict when a woman will develop breast cancer (BCa) from her lifestyle and health history features. To address this objective, we use data from the Alberta’s Tomorrow Project of 18,288 women to train Individual Survival Distribution (ISD) models to predict an individual’s Br...

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Detalles Bibliográficos
Autores principales: Qi, Shi-ang, Kumar, Neeraj, Xu, Jian-Yi, Patel, Jaykumar, Damaraju, Sambasivarao, Shen-Tu, Grace, Greiner, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762602/
https://www.ncbi.nlm.nih.gov/pubmed/36534670
http://dx.doi.org/10.1371/journal.pone.0279174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762602/
https://www.ncbi.nlm.nih.gov/pubmed/36534670
http://dx.doi.org/10.1371/journal.pone.0279174

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