Applying Data Mining Techniques to Extract Hidden Patterns about Breast Cancer Survival in an Iranian Cohort Study

Background: Breast cancer survival has been analyzed by many standard data mining algorithms. A group of these algorithms belonged to the decision tree category. Ability of the decision tree algorithms in terms of visualizing and formulating of hidden patterns among study variables were main reasons...

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Detalles Bibliográficos
Autores principales: Khalkhali, Hamid Reza, Lotfnezhad Afshar, Hadi, Esnaashar, Omid, Jabbari, Nasrollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hamadan University of Medical Sciences 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189091/
https://www.ncbi.nlm.nih.gov/pubmed/27061994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189091/
https://www.ncbi.nlm.nih.gov/pubmed/27061994

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