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Application of random survival forest to establish a nomogram combining clinlabomics-score and clinical data for predicting brain metastasis in primary lung cancer.

Zhongxiang ShiYixin ChenAoyu LiuJingya ZengWanlin XieXin LinYangyang ChengHuimin XuJialing ZhouShan GaoChunyuan FengHongxia ZhangYi-Hua Sun
Published in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2024)
Finally, we constructed and validated a nomogram to predict BM risk in primary lung cancer. Our nomogram can identify patients at high risk of BM and provide a reference for clinical decision-making at different disease time points.
Keyphrases
  • lymph node metastasis
  • decision making
  • climate change
  • wastewater treatment
  • squamous cell carcinoma
  • electronic health record
  • machine learning
  • multiple sclerosis
  • deep learning
  • free survival