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Prediction model of ocular metastasis from primary liver cancer: Machine learning-based development and interpretation study.

Jin-Qi SunShi-Nan WuZheng-Lin MouJia-Yi WenHong WeiJie ZouQing-Jian LiZhao-Lin LiuSan Hua XuMin KangQian LingHui HuangXu ChenYi-Xin WangXu-Lin LiaoGang TanYi Shao
Published in: Cancer medicine (2023)
We used the XGB model to establish a risk prediction model of OM in PLC patients. The predictive model can help identify PLC patients with a high risk of OM, provide early and personalized diagnosis and treatment, reduce the poor prognosis of OM patients, and improve the quality of life of PLC patients.
Keyphrases
  • end stage renal disease
  • poor prognosis
  • machine learning
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • long non coding rna