International journal of online and biomedical engineering (ijoe) – eissn: 2626-8493 – vol 18 no 15 (2022)

HIGHLIGHTS

  • who: Nau00efve Bayes and colleagues from the Universitas Mulawarman, East Kalimantan, Indonesia have published the article: International Journal of Online and Biomedical Engineering (iJOE) - eISSN: 2626-8493 - Vol 18 No 15 (2022), in the Journal: (JOURNAL)
  • what: This study aims to obtain the best classification of the (NB) and Neighbors (KNN) methods so that accurate results are obtained in diagnosing DM disease using a dataset originating from In this experiment, the best accuracy of NB dan KNN methods with various experimental schemes is presented, so the results show in Tables 4-6. This study shows . . .

     

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