Classification of Diabetes Using Naïve Bayes and Support Vector Machine as a Technique-Reference-Cited by-同舟云学术

Classification of Diabetes Using Naïve Bayes and Support Vector Machine as a Technique

Published:2020-08-27 Issue: Volume: Page:365-376
ISSN:2522-5022
Container-title:Lecture Notes on Multidisciplinary Industrial Engineering
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Author:

Gupta Smriti,Verma Harsh Kumar,Bhardwaj Divyansh

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6017-0_24

Reference12 articles.

1. American Diabetes Association: Diagnosis and classification of diabetes mellitus. Diabetes Care 33(Supplement 1), S62–S69 (2010)

2. Bornstein, J., Lawrence, R.D.: Two types of diabetes mellitus, with and without available plasma insulin. Br. Med. J. 1(4709), 732 (1951)

3. Choubey, D.K., Paul, S., Kumar, S. and Kumar, S.: Classification of pima indian diabetes dataset using Naive Bayes with genetic algorithm as an attribute selection. In: Communication and Computing Systems: Proceedings of the International Conference on Communication and Computing System (ICCCS 2016), pp. 451–455 (February, 2017)

4. Iyer, A., Jeyalatha, S. and Sumbaly, R.: Diagnosis of diabetes using classification mining techniques. arXiv preprint arXiv:1502.03774 (2015). Leyens, C., Peters, M.: Titanium and titanium alloys. WILEY-VCH (2003)

5. Naïve Bayes algorithm. https://machinelearningmastery.com/naive-bayes-for-machine-learning/

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