Abstract
Coronary artery disease (CAD) affects millions of people worldwide and remains a leading cause of death despite modern treatment options. Effective treatment depends on accurate risk stratification, which classifies patients based on their likelihood of adverse outcomes and helps identify those who may benefit from more intensive care. This thesis investigates how machine learning (ML) can
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Supervisors/Advisors |
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| Award date | 20 Nov 2025 |
| Print ISBNs | 9789465227610 |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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