Analysing Machine Learning Techniques in Python for the Prediction of Diabetes Using the Risk Factors as Parameters-Reference-Cited by-同舟云学术

Analysing Machine Learning Techniques in Python for the Prediction of Diabetes Using the Risk Factors as Parameters

Published:2021-12-01 Issue: Volume: Page:619-639
ISSN:1876-1100
Container-title:Emerging Research in Computing, Information, Communication and Applications
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Author:

Akanksha M. S.,Vinutna Kolachana,Thippeswamy M. N.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1342-5_48

Reference26 articles.

1. Mohammed M, Khan MB, Bashier EBM (2017) Machine learning algorithms and applications. CRC Press

2. WebMD Diabetes mellitus—types and description. https://www.webmd.com/diabetes/guide/types-of-diabetes-mellitus

3. Sisodia D, Sisodia DS Prediction of diabetes using classification algorithms. https://www.sciencedirect.com/science/article/pii/S1877050918308548

4. Early predictive system for diabetes mellitus. In: Industrial conference on data mining. Springer, pp 420–427

5. Nai Arun N, Moungmai R Comparison of classifiers for the risk of diabetes prediction. https://www.scopus.com/record/display.uri?eid=2-s2.0-84962885345&origin=inward&txGid=92705c75f09b9575155d40abd686ef07

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