Machine Learning With K-Means Dimensional Reduction for Predicting Survival Outcomes in Patients With Breast Cancer

OBJECTIVE: Despite existing prognostic markers, breast cancer prognosis remains a difficult subject due to the complex relationships between many contributing factors and survival. This study seeks to integrate multiple clinicopathological and genomic factors with dimensional reduction across machin...

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Detalles Bibliográficos
Autores principales: Zhao, Melissa, Tang, Yushi, Kim, Hyunkyung, Hasegawa, Kohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238199/
https://www.ncbi.nlm.nih.gov/pubmed/30455569
http://dx.doi.org/10.1177/1176935118810215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238199/
https://www.ncbi.nlm.nih.gov/pubmed/30455569
http://dx.doi.org/10.1177/1176935118810215

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