Hybrid Feature Fusion Model for Clinical Prediction: A Performance Comparison with Standard Diagnostic Algorithms

Authors

  • Rudra Yamini Rani, Sangishetti Rajeshwari, Mittapally Anusha, Enugula HariKrishna, Karunakar Sangishetti, Dr. Mohammed Ali Shaik Author

DOI:

https://doi.org/10.48047/a6436b44

Keywords:

Hybrid Feature Fusion, Clinical Prediction, Transformer–RNN Architecture, Ultrasound Diagnostics, Deep Learning, Cloud-Based Healthcare Monitoring

Abstract

Clinical prediction using ultrasound has a significant role in the detection of diseases at an early stage, but its diagnostic accuracy is frequently reduced due to the dependency of the operator, the low level of the signal to noise, and some difficulties in decoding the high-dimensional sequence of images. 

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Published

12.12.2025

Issue

Vol. 15 No. 7 (2025): volume 15 issue 7(2025)

Section

Articles

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How to Cite

Hybrid Feature Fusion Model for Clinical Prediction: A Performance Comparison with Standard Diagnostic Algorithms . (2025). International Journal of Information and Electronics Engineering, 15(7), 157-170. https://doi.org/10.48047/a6436b44