Applying data mining techniques to extract hidden patterns about breast cancer survival in an Iranian cohort study
Journal of Research in Health Sciences [JRHS]. 2016; 16 (1): 31-35
in English
| IMEMR
| ID: emr-180406
ABSTRACT
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 to apply an algorithm from the decision tree category in the current study that has not studied already
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Index:
IMEMR (Eastern Mediterranean)
Language:
English
Journal:
J. Res. Health Sci.
Year:
2016
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