Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction

Leila Ismail; Huned Materwala

doi:10.1109/CSCI51800.2020.00095

Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction

Leila Ismail, Huned Materwala

Department of Computer Science and Software Engineering

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

5 Citations (Scopus)

Abstract

Diabetes is one of the top 10 causes of death worldwide. Health professionals are aiming for machine learning models to support the prognosis of diabetes for better healthcare and to put in place an effective prevention plan. In this paper, we conduct a comparative analysis of the most used machine learning models in the literature to predict the prevalence of diabetes mellitus type 2. We evaluate the models in terms of accuracy, F-measure and execution time with and without feature selection using a real-life diabetes dataset. The detailed analysis is in the paper.

Original language	English
Title of host publication	Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	527-533
Number of pages	7
ISBN (Electronic)	9781728176246
DOIs	https://doi.org/10.1109/CSCI51800.2020.00095
Publication status	Published - Dec 2020
Event	2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 - Las Vegas, United States Duration: Dec 16 2020 → Dec 18 2020

Publication series

Name	Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

Conference

Conference	2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Country/Territory	United States
City	Las Vegas
Period	12/16/20 → 12/18/20

Keywords

artificial intelligence
classification models
diabetes mellitus type 2
health informatics
machine learning models

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/CSCI51800.2020.00095

Cite this

Ismail, L., & Materwala, H. (2020). Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction. In Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 (pp. 527-533). Article 9457881 (Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI51800.2020.00095

Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction. / Ismail, Leila; Materwala, Huned.
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 527-533 9457881 (Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020).

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

Ismail, L & Materwala, H 2020, Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction. in Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020., 9457881, Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, Institute of Electrical and Electronics Engineers Inc., pp. 527-533, 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, Las Vegas, United States, 12/16/20. https://doi.org/10.1109/CSCI51800.2020.00095

Ismail L, Materwala H. Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction. In Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 527-533. 9457881. (Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020). doi: 10.1109/CSCI51800.2020.00095

Ismail, Leila ; Materwala, Huned. / Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction. Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 527-533 (Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020).

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Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction

Abstract

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