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Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

Wen-Cai LiuZhi-Qiang LiZhi-Wen LuoWei-Jie LiaoZhi-Li LiuJia-Ming Liu
Published in: Cancer medicine (2021)
The RF model constructed in this study could accurately predict bone metastases in TC patients, which may provide clinicians with more personalized clinical decision-making recommendations. Machine learning technology has the potential to improve the development of BM prediction models in TC patients.
Keyphrases
  • newly diagnosed
  • machine learning
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • decision making
  • prognostic factors
  • deep learning
  • clinical practice