Explainable artificial intelligence for LDL cholesterol prediction and classification.

Journal: Clinical biochemistry
Published Date: Jul 6, 2024

Abstract

INTRODUCTION: Monitoring LDL-C levels is essential in clinical practice because there is a direct relation between low-density lipoprotein cholesterol (LDL-C) levels and atherosclerotic heart disease risk. Therefore, measurement or estimate of LDL-C is critical. The present study aims to evaluate Artificial Intelligence (AI) and Explainable AI (XAI) methodologies in predicting LDL-C levels while emphasizing the interpretability of these predictions.

Authors

  • Sevilay Sezer
    Department of Medical Biochemistry, Ministry of Health, Ankara Bilkent City Hospital, Ankara, Turkey. Electronic address: sevilaysezer@gmail.com.
  • Ali Öter
    Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey. alioter@ksu.edu.tr.
  • Betul Ersoz
    Artificial Intelligence and Big Data Analytics Security R&D Center, Gazi University, Ankara, Turkey.
  • Canan Topcuoglu
    Department of Medical Biochemistry, Ministry of Health, Ankara Etlik City Hospital, Ankara, Turkey.
  • Halil İbrahim Bulbul
    Department of Computer and Instructional Technologies Education, Gazi University, Ankara, Turkey.
  • Seref Sagiroglu
  • Murat Akin
    Artificial Intelligence and Big Data Analytics Security R&D Center, Gazi University, Ankara, Turkey.
  • Gulsen Yilmaz
    Department of Medical Biochemistry, Ministry of Health, Ankara Bilkent City Hospital, Ankara, Turkey; Department of Medical Biochemistry, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey.

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