Method based on data mining techniques for breast cancer recurrence analysis
Cancer is a constantly evolving disease, which affects a large number of people worldwide. Great efforts have been made at the research level for the development of tools based on data mining techniques that allow to detect or prevent breast cancer. The large volumes of data play a fundamental role...
- Autores:
-
Morales Ortega, Roberto
Lozano-Bernal, German
Ariza Colpas, Paola Patricia
ARRIETA RODRIGUEZ, EUGENIA LUZ
Ospino Mendoza, Elisa
caicedo ortiz, jose antonio
Piñeres-Melo, Marlon Alberto
Mendoza Palechor, Fabio
Roca-Vides, Margarita
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7204
- Acceso en línea:
- https://hdl.handle.net/11323/7204
https://doi.org/10.1007/978-3-030-53956-6_54
https://repositorio.cuc.edu.co/
- Palabra clave:
- Breast cancer
Data mining
Classification
Cluster
Dataset
- Rights
- openAccess
- License
- CC0 1.0 Universal