Machine learning algorithms for predicting smokeless tobacco status among women in Northeastern States, India-Reference-Cited by-同舟云学术

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Machine learning algorithms for predicting smokeless tobacco status among women in Northeastern States, India

Published:2022-07-04 Issue:5 Volume:13 Page:2629-2639
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Jitenkumar Singh Kh.,Jiran Meitei A.^ORCID,Alee Nongzaimayum Tawfeeq,Kriina Mosoniro,Haobijam Nirendrakumar Singh

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-022-01720-3.pdf

Reference38 articles.

1. Agresti A (2018) An introduction to categorical data analysis. Wiley, New Jersey

2. Altman NS (1992) An introduction to kernel and nearest-neighbor nonparametric regression. Am Stat 46(3):175–185. https://doi.org/10.1080/00031305.1992.10475879

3. Balakrishnama S, Ganapathiraju A (1998) Linear discriminant analysis-a brief tutorial. Inst Signal Inf Process 18(1998):1–8

4. Bergström J, Preber H (1994) Tobacco use as a risk factor. J Periodontol 65:545–550. https://doi.org/10.1902/jop.1994.65.5s.545

5. Boyle P, Gray N, Henningfield J, Seffrin J, Zatonski W (eds) (2010) Tobacco: science, policy and public health. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199566655.001.0001

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