Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records

SIMPLE SUMMARY: Breast cancer is a heterogeneous disease characterized by different risks of relapse, which makes it challenging to predict progression and select the most appropriate follow-up strategies. With the ever-growing adoption of Electronic Health Records, there are great opportunities to...

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Detalles Bibliográficos
Autores principales: González-Castro, Lorena, Chávez, Marcela, Duflot, Patrick, Bleret, Valérie, Martin, Alistair G., Zobel, Marc, Nateqi, Jama, Lin, Simon, Pazos-Arias, José J., Del Fiol, Guilherme, López-Nores, Martín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216131/
https://www.ncbi.nlm.nih.gov/pubmed/37345078
http://dx.doi.org/10.3390/cancers15102741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216131/
https://www.ncbi.nlm.nih.gov/pubmed/37345078
http://dx.doi.org/10.3390/cancers15102741

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