HIGHLIGHTS
- who: Faranak Rezaei from the Department of Electrical Kermanshah, Iran have published the research: Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm, in the Journal: (JOURNAL)
- what: In this paper a new approach uses a Binary (BEMA) to identify essential and practical features in the diabetes dataset and determine the best binary function (type of sigmoid function) to the of the EMA is presented. This study shows the SVM algorithm performs better in data classification than different algorithms.
- how: In the diagnosis of diabetes using algorithms such as . . .
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