Optimal artificial neural network-based data mining technique for stress prediction in working employees-Reference-Cited by-同舟云学术

Optimal artificial neural network-based data mining technique for stress prediction in working employees

Published:2021-07-28 Issue:17 Volume:25 Page:11523-11534
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Anitha S.^ORCID,Vanitha M.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06058-9.pdf

Reference34 articles.

1. Anitha S, Vanitha M (2019) Imputation methods for missing data for a proposed VASA dataset. Int J Innov Technol Explor Eng (IJITEE). 9(1):2278–3075

2. Anitha S, Vanitha M (2019) Selecting features related to work-pressure and assessing possible diseases in humans. Int J Sci Technol Res 8(12):2277–8616

3. Anitha S, Vanitha M (2020) The predicting diseases of employees with VASA dataset using entropy. Int J Adv Sci Technol 29(4):5867–5874

4. Chan VKH, Christine WC (2019) Towards explicit representation of an artificial neural network model: comparison of two artificial neural network rule extraction approaches. Petroleum

5. Chen M, Hao Y, Hwang K, Wang L, Wang L (2017) Disease prediction by machine learning over big data from healthcare communities. IEEE Access 5:8869–8879

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