Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine-Reference-Cited by-同舟云学术

Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine

Published:2022 Issue: Volume: Page:220-232
ISSN:1865-0929
Container-title:Advancements in Smart Computing and Information Security
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Author:

Priscila S. Silvia,Kumar C. Sathish

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23092-9_18

Reference30 articles.

1. Hassan, C.A.U., Khan, M.S., Shah, M.A.: Comparison of machine learning algorithms in data classification. In: 2018 24th International Conference on Automation and Computing (ICAC), pp. 1–6. IEEE, September 2018

2. Kling, C.E., Perkins, J.D., Biggins, S.W., Johnson, C.K., Limaye, A.P., Sibulesky, L.: Listing practices and graft utilization of hepatitis C–positive deceased donors in liver and kidney transplant. Surgery 166(1), 102–108 (2019)

3. Khadidos, A., Khadidos, A.O., Kannan, S., Natarajan, Y., Mohanty, S.N., Tsaramirsis, G.: Analysis of COVID-19 Infections on a CT Image Using DeepSense Model. Frontiers in Public Health, 8 (2020)

4. Owada, Y., et al.: A nationwide survey of Hepatitis E virus infection and chronic hepatitis in heart and kidney transplant recipients in Japan. Transplantation 104(2), 437 (2020)

5. Mariappan, L.T.: Analysis on cardiovascular disease classification using machine learning framework. Solid State Technol. 63(6), 10374–10383 (2020)

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