@inproceedings{8f5684c1dbc74ff0a639ced40a078735,
title = "Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm",
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.",
keywords = "Classification of diabetes, Diabetes mellitus, K-nearest neighbors algorithm, Machine learning, Novel artificial neural network",
author = "Raju Ranjan and Sachin Gupta and Sachin Sharma and Alatba, {Sura Rahim} and Anusha Sreeram and Sowmya Fernandez",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 ; Conference date: 12-05-2023 Through 13-05-2023",
year = "2023",
doi = "10.1109/ICACITE57410.2023.10182961",
language = "English",
series = "2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1099--1101",
booktitle = "2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023",
address = "United States",
}