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

doi:10.1109/ICACITE57410.2023.10182961

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

Centre for Sustainable Digital Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	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
Number of pages	3
ISBN (Electronic)	9798350399264
DOIs	https://doi.org/10.1109/ICACITE57410.2023.10182961
Publication status	Published - 2023
Event	3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 - Greater Noida, India Duration: 12 May 2023 → 13 May 2023

Publication series

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

Conference

Conference	3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
Country/Territory	India
City	Greater Noida
Period	12/05/23 → 13/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1109/ICACITE57410.2023.10182961

Cite this

Ranjan, R., Gupta, S., Sharma, S., Alatba, S. R., Sreeram, A., & Fernandez, S. (2023). Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 (pp. 1099-1101). (2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACITE57410.2023.10182961

Ranjan, Raju ; Gupta, Sachin ; Sharma, Sachin et al. / Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1099-1101 (2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023).

@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",

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address = "United States",

}

Ranjan, R, Gupta, S, Sharma, S, Alatba, SR, Sreeram, A & Fernandez, S 2023, Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm. in 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1099-1101, 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023, Greater Noida, India, 12/05/23. https://doi.org/10.1109/ICACITE57410.2023.10182961

Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm. / Ranjan, Raju; Gupta, Sachin; Sharma, Sachin et al.
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1099-1101 (2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm

AU - Ranjan, Raju

AU - Gupta, Sachin

AU - Sharma, Sachin

AU - Alatba, Sura Rahim

AU - Sreeram, Anusha

AU - Fernandez, Sowmya

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Classification of diabetes

KW - Diabetes mellitus

KW - K-nearest neighbors algorithm

KW - Machine learning

KW - Novel artificial neural network

UR - https://www.scopus.com/pages/publications/85178269788

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DO - 10.1109/ICACITE57410.2023.10182961

M3 - Conference contribution

AN - SCOPUS:85178269788

T3 - 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

SP - 1099

EP - 1101

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

Y2 - 12 May 2023 through 13 May 2023

ER -

Ranjan R, Gupta S, Sharma S, Alatba SR, Sreeram A, Fernandez S. Artificial Neural Network Based Categorization of Diabetes Mellitus and its Comparison with K-Nearest Neighbors Algorithm. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1099-1101. (2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023). doi: 10.1109/ICACITE57410.2023.10182961

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

Abstract

Publication series

Conference

UN SDGs

Keywords

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