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Classification models for likelihood prediction of diabetes at early stage using feature selection

Oladosu Oyebisi Oladimeji, Abimbola Oladimeji, Olayanju Oladimeji

Applied Computing and Informatics (2024) 20 (3-4): 279–286.

https://doi.org/10.1108/ACI-01-2021-0022

Published: 25 May 2021

... detection of symptom of this deadly ailment [ 8 ] employing dataset of 520 subjects with 16 attributes (symptoms), on different classification algorithms and reported that random forest performed optimally. Authors have proposed various models for the diagnosis of diabetes [ 1 ], employing dataset...

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