Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model

Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model

Objectives: Patients with intermediate or advanced hepatocellular carcinoma (HCC) require repeated disease monitoring, prognosis assessment and treatment planning. In 2018, a novel machine learning methodology “survival path” (SP) was developed to facilitate dynamic prognosis prediction and treatmen...

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Bibliographic Details
Main Authors: Lujun Shen, Yiquan Jiang, Tao Zhang, Fei Cao, Liangru Ke, Chen Li, Gulijiayina Nuerhashi, Wang Li, Peihong Wu, Chaofeng Li, Qi Zeng, Weijun Fan
Format: Article
Language:English
Published: SAGE Publishing 2024-10-01
Series:Cancer Informatics
Online Access:https://doi.org/10.1177/11769351241289719
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