Characterizing the survival of women with invasive cervical cancer by using data mining

In this paper, one of the results of the research project entitled: Detection of survival patterns in diagnosed women with invasive cervical cancer with data mining techniques, using as the main source the information stored in the database of Cancer Registry of the Municipality of Pasto (Colombia)...

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Autores:

Tipo de recurso:

http://purl.org/coar/resource_type/c_6511

Fecha de publicación:

2016

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

spa

OAI Identifier:

oai:repositorio.uptc.edu.co:001/10219

Acceso en línea:

https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/4315
https://repositorio.uptc.edu.co/handle/001/10219

Palabra clave:

cervical cancer
CRISP-DM
survival patterns
data mining.
cáncer de cuello uterino
CRISP-DM
patrones de supervivencia
minería de datos.

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Derechos de autor 2016 REVISTA DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN