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A hybrid quantum-classical approach for liver disease detection using quantum machine learning
DOI:10.1016/j.engappai.2025.113240.png)
Abstract
En 中文
• Efficient hybrid quantum model integrating a two qubits quantum layer for NISQ-era devices. • Quantum Machine Learning evaluated for addressing class imbalance in classical models. • Application to the Indian Liver Patient Dataset (ILPD), a widely-used benchmark for liver disease detection. • Reproducibility ensured with open-source code.
Journal
IF:
8
Papers:
5.3K
Citations:
3.5W

