A machine learning approach in a monocentric cohort for predicting primary refractory disease in Diffuse Large B-cell lymphoma patients.

Journal: PloS one
PMID: 39352921

Abstract

INTRODUCTION: Primary refractory disease affects 30-40% of patients diagnosed with DLBCL and is a significant challenge in disease management due to its poor prognosis. Predicting refractory status could greatly inform treatment strategies, enabling early intervention. Various options are now available based on patient and disease characteristics. Supervised machine-learning techniques, which can predict outcomes in a medical context, appear highly suitable for this purpose.

Authors

  • Marie Y Detrait
    Department of Technology and Information Systems, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Stéphanie Warnon
    Department of Clinical Research, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Raphaël Lagasse
    Department of Technology and Information Systems, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Laurent Dumont
    Department of Technology and Information Systems, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Stéphanie De Prophétis
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Amandine Hansenne
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Juliette Raedemaeker
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Valérie Robin
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Géraldine Verstraete
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Aline Gillain
    Department of Clinical Research, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Nicolas Depasse
    Department of Technology and Information Systems, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Pierre Jacmin
    Department of Technology and Information Systems, Grand Hôpital de Charleroi, Charleroi, Belgium.
  • Delphine Pranger
    Division of Hematology, Hematology and oncology Department, Grand Hôpital de Charleroi, Charleroi, Belgium.

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