Machine Learning Models to Predict Bone Metastasis Risk in Patients With Lung Cancer.

Journal: Cancer medicine
Published Date: Nov 1, 2024

Abstract

INTRODUCTION: The aim of this study was to find the most appropriate variables to input into machine learning algorithms to identify those patients with primary lung malignancy with high risk for metastasis to the bone.

Authors

  • Kevin Wang Leong So
    Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
  • Evan Mang Ching Leung
    Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
  • Tommy Ng
    Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
  • Rachel Tsui
    Department of Orthopaedics and Traumatology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
  • Jason Pui Yin Cheung
    Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China.
  • Siu-Wai Choi
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: htswchoi@hku.hk.

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