AI-POWERED MODEL FOR THE DETECTION OF METABOLITES IN CORONARY ARTERY DISEASE IN THE QATARI POPULATION.

  • Fathima Lamya

Student thesis: Master's Dissertation

Abstract

Since coronary artery disease (CAD) is a major global source of morbidity and mortality, advances in early identification and individualized treatment plans are crucial. This work introduces an artificial intelligence (AI) model that can recognize metabolomic compounds associated with coronary artery disease (CAD) in the population of Qatar. Of all our models, artificial neural network (ANN) outstands all the ML models with an accuracy of 91.67%, recall of 80.0%, and specificity of 100%. We also analyzed metabolic profiles and found potential biomarkers using sophisticated machine-learning methods. Results show that 173 significant metabolites (p
Date of Award2024
Original languageAmerican English
Awarding Institution
  • HBKU College of Science and Engineering

Keywords

  • Artificial Intelligence
  • Coronary Artery Disease
  • Machine Learning
  • Metabolites
  • Qatari Population

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