Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small Cell Lung Cancer and Its Relation to Early Recovery.

Journal: Annals of surgical oncology
Published Date: Aug 1, 2025

Abstract

PURPOSE: This study was designed to evaluate the postoperative frailty status of patients with non-small cell lung cancer, identify influencing factors, establish a machine learning-based prediction model, and explore the correlation between frailty status at 3 months and early recovery at 1 month postoperatively.

Authors

  • Xue-E Su
    Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
  • Cui-Liu Lin
    Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Huai-Gang Wang
    Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China.
  • Jing-Liu
    Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China.
  • Cheng-Bao Peng
    Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China.
  • He-Fan He
    Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
  • Shanhu Wu
    Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
  • Xu-Feng Huang
    Illawarra Health and Medical Research Institute and Molecular Horizons, School of Medicine, University of Wollongong, Wollongong, Australia.
  • Shu Lin
    Department of Orthopedics, Sichuan Academy of Medical Science·Sichuan Provincal People's Hospital, Chengdu Sichuan, 610072, P.R.China.
  • Bao-Yuan Xie
    Department of Nursing, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China. 2223627072@qq.com.

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