Early stage NSCLS patients' prognostic prediction with multi-information using transformer and graph neural network model.

Jie Lian Jiajun Deng Edward S Hui Mohamad Koohi-Moghadam Yunlang SheChang ChenVarut Vardhanabhuti

Published in: eLife (2022)

The study was supported by the National Natural Science Foundation of China (91959126, 8210071009), and Science and Technology Commission of Shanghai Municipality (20XD1403000, 21YF1438200).

Keyphrases

neural network
early stage
public health
end stage renal disease
ejection fraction
prognostic factors
peritoneal dialysis
healthcare
sentinel lymph node
radiation therapy
social media