Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning

Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning

Up to 30% of breast cancer (BC) patients will develop distant metastases (DM), for which there is no cure. Here, statistical and machine learning (ML) models were developed to estimate the risk of site-specific DM following local-regional therapy. This retrospective study cohort included 175 patient...

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Bibliographic Details
Main Authors: Audrey Shiner, Alex Kiss, Khadijeh Saednia, Katarzyna J. Jerzak, Sonal Gandhi, Fang-I Lu, Urban Emmenegger, Lauren Fleshner, Andrew Lagree, Marie Angeli Alera, Mateusz Bielecki, Ethan Law, Brianna Law, Dylan Kam, Jonathan Klein, Christopher J. Pinard, Alex Shenfield, Ali Sadeghi-Naini, William T. Tran
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Genes
Subjects:
breast cancer metastasis
machine learning
prediction models
metastatic patterns
Online Access:https://www.mdpi.com/2073-4425/14/9/1768

Internet

https://www.mdpi.com/2073-4425/14/9/1768

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