Article

Predicting coronary artery disease severity through genomic profiling and machine learning modelling: The GEnetic SYNTAX Score (GESS) trial

2024-12-06

Abstract excerpt

Cardiovascular diseases (CVDs) present multifactorial pathophysiology and produce immense health and economic burdens globally. The most common type, coronary artery disease (CAD), shows a complex etiology with multiple genetic variants to interplay with various clinical features and demographic traits affecting CAD risk and severity. The development and clinical validation of machine learning (ML) algorithms that...

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Literature Corpus work: 0f38036b-255f-531b-a20a-0c772c1d511b
DOI: 10.1101/2024.12.04.24318505

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