Construction of a risk screening and visualization system for pulmonary nodule in physical examination population based on feature self-recognition machine learning model.

Journal: Frontiers in medicine
Published Date: Mar 4, 2025

Abstract

OBJECTIVE: To assess the effectiveness of a feature self-recognition machine learning model in screening for pulmonary nodule risk in a physical examination population and to evaluate the constructed visualization system.

Authors

  • Fang Tian
    Department of Outpatient, Western Theater Command General Hospital of PLA, Chengdu, Sichuan, China.
  • Yongchun Lin
    Department of Outpatient, Western Theater Command General Hospital of PLA, Chengdu, Sichuan, China.
  • Liangjiao Wang
    Department of Outpatient, Western Theater Command General Hospital of PLA, Chengdu, Sichuan, China.
  • Fei Fang
    Department of Emergency, Tibet Command General Hospital of PLA, Lhasa, China.
  • Kaiwen Hou
    Department of Outpatient, Western Theater Command General Hospital of PLA, Chengdu, Sichuan, China.

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