Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models.

Journal: BMC musculoskeletal disorders
PMID: 40382598

Abstract

BACKGROUND: Identifying determinants of low bone mineral density (BMD) is crucial for understanding the underlying pathobiology and developing effective prevention and management strategies. Here we applied machine learning (ML) algorithms to predict low femoral neck BMD using standard demographic and laboratory parameters.

Authors

  • Nedhal Al-Husaini
    Department of Biomedical Sciences, College of Health Sciences, QU-Health, Qatar University, Doha, 2713, Qatar.
  • Rozaimi Razali
    King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, 23955-6900, Saudi Arabia.
  • Amal Al-Haidose
    Department of Biomedical Sciences, College of Health Sciences, QU-Health, Qatar University, Doha, 2713, Qatar.
  • Mohammed Al-Hamdani
    Department of Public Health, College of Health Sciences, QU-Health, Qatar University, Doha, 2713, Qatar.
  • Atiyeh M Abdallah
    Department of Biomedical Sciences, College of Health Sciences, QU-Health, Qatar University, Doha, 2713, Qatar. aabdallah@qu.edu.qa.

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