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A Machine Learning Approach to Predicting Mortality Risk in Chemotherapy-Treated Lung Cancer: Machine Learning Model

Jianjun Zou1,2,3, Jinyi Huang4, Katie Lu5

  • 1Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, Guangdong, China.

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|December 18, 2025
PubMed
Summary
This summary is machine-generated.

This study developed a machine learning (ML) model to predict mortality risk in lung cancer patients undergoing chemotherapy. The model shows promise for personalized prognostic management, improving patient outcomes.

Keywords:
chemotherapylung cancermachine learningmortalityprediction model

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Area of Science:

  • Oncology
  • Medical Informatics
  • Biostatistics

Background:

  • Predicting survival outcomes for lung cancer patients receiving chemotherapy is challenging.
  • Accurate prognostication is crucial for effective clinical management and personalized treatment strategies.

Purpose of the Study:

  • To develop and validate a multivariate machine learning (ML) model for assessing all-cause mortality risk.
  • To enhance clinical decision-making for chemotherapy-treated lung cancer patients.

Main Methods:

  • Retrospective analysis of 1278 lung cancer patients post-chemotherapy.
  • Development of 84 ML models using 5 algorithms, optimized using concordance index.
  • Validation through ROC curves, calibration curves, and decision curve analysis; feature attribution via Shapley Additive Explanations.

Main Results:

  • The optimal ML model identified 21 key prognostic features, including clinical and symptom-related data.
  • The model achieved a concordance index of 0.702 on the testing set, with AUCs of 0.740 (1-year), 0.777 (3-year), and 0.915 (5-year).
  • Demonstrated positive clinical utility for risk thresholds in 1-, 3-, and 5-year mortality predictions.

Conclusions:

  • The developed ML models offer acceptable discrimination, calibration, and clinical benefit for predicting mortality risk.
  • These models can aid clinicians in providing personalized prognostic management for lung cancer patients undergoing chemotherapy.