Predicting malnutrition-based anemia in geriatric patients using machine learning methods.

Journal: Journal of evaluation in clinical practice
PMID: 39308268

Abstract

BACKGROUND: Anemia due to malnutrition may develop as a result of iron, folate and vitamin B12 deficiencies. This situation poses a higher risk of morbidity and mortality in the geriatric population than in other age groups. Therefore, early diagnosis of anemia and early initiation of treatment is very important. This study aims to predict the diagnosis of anemia with using machine learning (ML) methods in geriatric patients followed in an outpatient clinic.

Authors

  • Mehmet Göl
    Department of Physiology, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Turkey.
  • Cemal Aktürk
    Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.
  • Tarık Talan
    Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.
  • Mehmet Sait Vural
    Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.
  • İbrahim Halil Türkbeyler
    Division of Geriatrics, Department of Internal Medicine, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Turkey.

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