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Building practical risk prediction models for nasopharyngeal carcinoma screening with patient graph analysis and machine learning.

Anjun ChenRoufeng LuRuobing HanRan HuangGuanjie QinJian WenQinghua LiZhiyong ZhangWei Jiang
Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)
These more practical NPC risk models could help increase NPC screening rate and identify more early-stage NPC patients.
Keyphrases
  • early stage
  • machine learning
  • end stage renal disease
  • newly diagnosed
  • chronic kidney disease
  • peritoneal dialysis
  • case report
  • prognostic factors
  • deep learning
  • sentinel lymph node
  • neoadjuvant chemotherapy