Evaluation of Four Deep Learning-Based Postoperative Survival Prediction Models for Hepatocellular Carcinoma Based on SEER
Guangwen Cao,
Chunxia Jing,
Wenbin Liu
et al.
Abstract:Accurate prognosis prediction is crucial for treatment decisions in HCC patients, but there is limited research investigating the combination of deep learning with time-to-event analysis. This study assessed four models, including deep learning survival neural network (DeepSurv), neural multi-task logistic regression model (N-MTLR), random survival forest (RSF), and traditional Cox proportional hazards (Cox-PH) models in predicting postoperative survival in hepatocellular carcinoma (HCC) patients. Utilizing da… Show more
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