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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Bibliographic Details

Main Authors:	Timarán-Pereira, Ricardo, Yépez-Chamorro, Maria Clara
Format:	Online
Language:	spa
Published:	Universidad Pedagógica y Tecnológica de Colombia 2016
Subjects:	cervical cancer CRISP-DM survival patterns data mining. cáncer de cuello uterino patrones de supervivencia minería de datos.
Online Access:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/4315