A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma.

Yimin LiShun LuMei LanXinhao PengZijian ZhangJinyi Lang

Published in: Journal of translational medicine (2020)

The mRNA-based biomarker is a powerful and independent prognostic factor. Furthermore, the nomogram comprising our prognostic classifier is a promising predictor in identifying the progression risk of CSCC patients.

Keyphrases

prognostic factors
squamous cell carcinoma
machine learning
end stage renal disease
lymph node metastasis
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
deep learning
artificial intelligence
patient reported outcomes
big data