A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction

Abstract The breast cancer (BC) prediction is improved through the machine learning (ML) techniques. In this study, we develop an innovative forecasting framework called the Dynamic Harris Hawks Optimized Gated Recurrent Unit (DHH-GRU) for the prediction of BC. It combines the Gated Recurrent Unit (...

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Bibliographic Details
Main Authors: Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, Francesco Flammini, Badria Sulaiman Alfurhood, C. M. Naveen Kumar
Format: Article
Language:English
Published: Springer 2025-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-024-00712-4
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