Evaluating the performances of various machine-learning solutions to manage and utilize the interleukin-6 test requests.

Journal: Computers in biology and medicine
Published Date: Aug 18, 2025

Abstract

OBJECTIVES: This study aims to develop and evaluate machine-learning (ML) models that can predict interleukin-6 (IL-6) test outcomes and support the management of inappropriate IL-6 test requests.

Authors

  • Emel Çolak Samsum
    General Directorate of Health Services, Department of Analysis and Diagnostic Servıces, T.C. Ministry of Health, Çankaya, 06800, Ankara, Turkey. Electronic address: emel.colak@saglik.gov.tr.
  • Mehmet Şeneş
    Medical Biochemistry, University of Health Sciences Ankara Training and Research Hospital, Altındağ, 06230, Ankara, Turkey. Electronic address: senesmehmet@yahoo.com.

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