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Dynamic Predictive Models with Visualized Machine Learning for Assessing the Risk of Lung Metastasis in Kidney Cancer Patients.

Chan XuQian ZhouWen-Cai LiuWenle LiShengtao DongWanying LiXiaofeng XuXimin QiaoYouli JiangJingfang ChenChengliang Yin
Published in: Journal of oncology (2022)
This study provided preliminary evidence that the ML algorithm can be used to predict lung metastases in patients with kidney cancer. This low cost, noninvasive and easy to implement diagnostic method is useful for clinical work. Of course this model still needs to undergo more real-world validation.
Keyphrases
  • low cost
  • machine learning
  • deep learning
  • artificial intelligence
  • squamous cell
  • big data
  • squamous cell carcinoma
  • young adults
  • lymph node metastasis