Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm

Raju Ranjan, Sachin Gupta, Sachin Sharma, Sura Rahim Alatba, Anusha Sreeram, Sowmya Fernandez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The categorization of diabetes mellitus in humans with a Novel Artificial Neural Network (ANN) algorithm and it'sassessment with K-Nearest Neighbors to improve the performance in terms of precision and accuracyis proposed in this paper. Kaggle, a repository for machine learning algorithms has been used as a source of Pima Indian diabetes dataset. This dataset having 8 attributes in 6 different categories are considered as input attributes for the classifiers. 20 samples have been used for the testing of both the Novel artificial neural network algorithm and K-nearest neighborsAccuracy and precision of Artificial neural network algorithm is calculated and compared with K-nearest neighbors algorithm. The significance value is less than 0.05. The G power is taken as 0.8. In diabetes mellitus classification of the considereddataset, the proposed work shows that performance of the Novel artificial neural network algorithm is better as compared to the K-nearest neighbors algorithm.

Original languageEnglish
Title of host publication2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1099-1101
Number of pages3
ISBN (Electronic)9798350399264
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 - Greater Noida, India
Duration: 12 May 202313 May 2023

Publication series

Name2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

Conference

Conference3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
Country/TerritoryIndia
CityGreater Noida
Period12/05/2313/05/23

Keywords

  • Classification of diabetes
  • Diabetes mellitus
  • K-nearest neighbors algorithm
  • Machine learning
  • Novel artificial neural network

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