Disease Diagnosis Based on Improved Gray Wolf Optimization (IGWO) and Ensemble Classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s10439-023-03303-0.pdf
Reference62 articles.
1. Moreno-Ibarra, M.-A., Y. Villuendas-Rey, et al. Classification of diseases using machine learning algorithms: a comparative study. Mathematics. 2021:9, 1817. https://doi.org/10.3390/math9151817.
2. Elghamrawy, S. M., and A. E. Hassanien. A hybrid Genetic-Grey Wolf Optimization algorithm for optimizing Takagi–Sugeno–Kang fuzzy systems. Neural Comput. Appl. 34(19):17051–69, 2022.
3. Kumar, Yogesh, Apeksha Koul, et al. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J. Ambient Intell. Hum. Comput. 2022. https://doi.org/10.1007/s12652-021-03612-z.
4. Mirbabaie, M., S. Stieglitz, and N. R. Frick. Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction. Health Technol. 11(4):693–731, 2021.
5. Singh, A., J. C. Mehta, D. Anand, P. Nath, B. Pandey, and A. Khamparia. An intelligent hybrid approach for hepatitis disease diagnosis: combining enhanced k -means clustering and improved ensemble learning. Expert Syst. 2020. https://doi.org/10.1111/exsy.12526.
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