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

Anjun Chen Roufeng Lu Ruobing Han Ran Huang Guanjie Qin Jian Wen Qinghua Li Zhiyong Zhang Wei 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