Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification
Abstract The rapid expansion of IoT-enabled healthcare systems has resulted in the generation of large-scale, heterogeneous, and high-dimensional medical data. However, traditional machine learning models often struggle with issues such as data imbalance, redundant features, and noise, limiting thei...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Big Data |
| Online Access: | https://doi.org/10.1186/s40537-025-01243-1 |
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