Open Access
| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01141 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101141 | |
| Published online | 05 June 2023 | |
- A. T. Azar, A. E. Hassanien, and T. Kim, AI, arXiv:1403.0522, (2012) [Google Scholar]
- K. Salman, E. Sonuc, J. Phys, 1963, 012140, (2021) [Google Scholar]
- A. C. C. Heuck, “World Health Organization,” 2000, https://www.who.int/ [Google Scholar]
- A. Tyagi and R. Mehra, Interactive Thyroid Disease Prediction System using Machine Learning Techniques, in the Proceedings of the 5th IEEE International Conference on Parallel, Distributed Grid Computing (PDGC-2018), 20-22 Dec, 2018, Solan, India, (2018) [Google Scholar]
- Y. F. Wang, Comparison Study of Radiomics and Deep-Learning Based on Methods for Thyroid Nodules Classification Using Ultrasound Images, 8, IEEE Access, (2020) [Google Scholar]
- R. Chandan, M. S. Chethan, C. Vasan, H. S. Devikarani, Int. J. Eng. App. Sci. Tech. 5, 9, (2021) [CrossRef] [Google Scholar]
- S. Godara, Intl. J. Elect. Engg. 10, 2, (2018) [Google Scholar]
- P. Pavani, P. P. Sadu Naik, Int. J. Inno. Res. Tech. 9, 3, (2022) [Google Scholar]
- Sunila, R. Singh, and Sanjeeev Kumar, Ind. J. Sci. and Tech. 9, (2016) [Google Scholar]
- S. Godara and R. Singh, Ind. J. Sci. and Tech. 910, (2016) [Google Scholar]
- Z. Obermeyer, E. Manuel, N. Engl. 375, (2016) [Google Scholar]
- A.K. Pandey, P. Pandey, and K.L. Jaiswal, IUP J. Comp. Sci., 7, 3, (2013) [Google Scholar]
- S. Ismaeel, A. Miri, and D. Chourishi, Using the Extreme Learning Machine (ELM) technique for heart disease diagnosis, in Proceedings of the IEEE Canada International Humanitarian Technology Conference, (2015) [Google Scholar]
- Thyroid dataset, “UCI Machine Learning Repository”, https://archive.ics.uci.edu/ml/ datasets/thyroid+disease [Google Scholar]
- Evaluation metrics, “Basic measurements derived from confusion matrix”, https://classeval.wordpress.com/introduction/basic-evaluation-measures/ [Google Scholar]
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