Personalized therapeutic strategies and prognosis for advanced laryngeal squamous cell carcinoma: Insights from machine learning models.

Journal: American journal of otolaryngology
Published Date: Apr 24, 2025

Abstract

PURPOSE: Despite the development of diverse treatment options, there has been an increase in mortality rates for laryngeal squamous cell carcinoma (LSCC). Our research employed survival analysis and machine learning (ML) techniques to evaluate the impact of different therapeutic options on survival and to build a prognostic model for individualized clinical decisions in advanced LSCC.

Authors

  • Sakhr Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Alia Alawneh
    Internal Medicine Department, Palliative Medicine, Jordan University of Science and Technology, Irbid, Jordan.
  • Haya Kamal
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Tala Abdulsalam Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Mustafa Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Hamdah Hanifa
    Faculty of Medicine, University of Kalamoon, Al-Nabk, Syria.
  • Raghad Al-Shami
    School of Medicine, University of Jordan, Amman, Jordan.
  • Kholoud Qassem
    King Hussein Cancer Center, Medical Oncology Department, Amman, Jordan.

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