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A Hybrid Quantum-Classical Machine Learning Framework for Early and Accurate Diagnosis of Chronic Diseases

2026-01-07

Abstract excerpt

Chronic diseases—such as diabetes, cardiovascular disorders, and chronic respiratory conditions—account for over 70% of global deaths annually, with late diagnosis being a primary contributor to poor outcomes. While machine learning (ML) models have shown promise in early detection, they often suffer from limited generalizability, data heterogeneity, and insufficient interpretability in clinical settings. This pap...

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Literature Corpus work
44f7b8c9-5ef4-517d-ad2c-d5381fb962fc
DOI
10.20944/preprints202601.0376.v1
Open publication

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A Hybrid Quantum-Classical Machine Learning Framework for Early and Accurate Diagnosis of Chronic DiseasesDOI 10.20944/preprints202601.0376.v1
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