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The use of Decision Tree in Breast Cancer-Related Research: a Scoping Analysis Based on Scopus-Indexed Articles
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Breast cancer is the leading cancer that occurs in women globally. The use of machine learning has been introduced to supplement the work in breast cancer studies. There are undisputed pieces of evidence of the existence of publications pertaining to the use of decision tree in breast cancer-related research. However, little is known regarding the types and frequencies of the searched articles. The main objective of this paper is to unearth the broad variety of articles related to breast cancer
doi:10.35940/ijitee.i3290.0789s319
fatcat:mvilfnwvpjbtfpb7gvqzsxpswa