Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.

Journal: The clinical respiratory journal
Published Date:

Abstract

BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. This study aimed to establish novel multiclassification prediction models based on machine learning (ML) to predict the probability of malignancy in pulmonary nodules (PNs) and to compare with three published models.

Authors

  • Qiao Liu
    MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Xue Lv
    Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Daiquan Zhou
    Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Na Yu
    National Dental Centre Singapore, Singapore.
  • Yuqin Hong
    Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yan Zeng
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.