Comparative analysis of prediction algorithms for diabetes

Shweta Karun, Aishwarya Raj, Girija Attigeri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Machine learning is a widely growing field which helps in better learning from data and its analysis without any human intervention. It is being popularly used in the field of healthcare for analyzing and detecting serious and complex conditions. Diabetes is one such condition that heavily affects the entire system. In this paper, application of intelligent machine learning algorithms like logistic regression, naïve Bayes, support vector machine, decision tree, k-nearest neighbors, neural network, and random decision forest are used along with feature extraction. The accuracy of each algorithm, with and without feature extraction, leads to a comparative study of these predictive models. Therefore, a list of algorithms that works better with feature extraction and another that works better without it is obtained. These results can be used further for better prediction and diagnosis of diabetes.

Original languageEnglish
Title of host publicationAdvances in Computer Communication and Computational Sciences - Proceedings of IC4S 2017
EditorsSanjiv K. Bhatia, Shailesh Tiwari, Munesh C. Trivedi, Krishn K. Mishra
PublisherSpringer Verlag
Pages177-187
Number of pages11
ISBN (Print)9789811303401
DOIs
Publication statusPublished - 01-01-2019
EventInternational Conference on Computer, Communication and Computational Sciences, IC4S 2017 - Kathu, Thailand
Duration: 11-10-201712-10-2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume759
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Computer, Communication and Computational Sciences, IC4S 2017
CountryThailand
CityKathu
Period11-10-1712-10-17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Karun, S., Raj, A., & Attigeri, G. (2019). Comparative analysis of prediction algorithms for diabetes. In S. K. Bhatia, S. Tiwari, M. C. Trivedi, & K. K. Mishra (Eds.), Advances in Computer Communication and Computational Sciences - Proceedings of IC4S 2017 (pp. 177-187). (Advances in Intelligent Systems and Computing; Vol. 759). Springer Verlag. https://doi.org/10.1007/978-981-13-0341-8_16