Can polycythaemia vera disease be predicted from haematologic parameters? A machine learning-based study.

Journal: Journal of clinical pathology
Published Date:

Abstract

AIMS: The aim of this research is to diagnose polycythaemia vera (PV) disease using different machine learning (ML) algorithms with complete blood count (CBC) parameters before further investigations such as Janus kinase 2 (), erythropoietin (EPO) and bone marrow biopsy (BMB).

Authors

  • Murat Haskul
    Department of Medical Oncology, Inonu University, Malatya, Turkey mrthaskul@gmail.com.
  • Emin Kaya
    Department of Haematology, Inonu University, Malatya, Turkey.
  • Ahmet Kurtoğlu
    Department of Coaching Education, Faculty of Sport Science, Bandirma Onyedi Eylul University, Balıkesir, 10200, Turkey.

Keywords

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