Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis

Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term follow-up. Hence, we collected information on patients with Primary Hepatocellular Carcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this informat...

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Vydáno v:	Scientific reports Ročník 14; číslo 1; s. 13232 - 16
Hlavní autoři:	Wang, Shoucheng, Shao, Mingyi, Fu, Yu, Zhao, Ruixia, Xing, Yunfei, Zhang, Liujie, Xu, Yang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 09.06.2024 Nature Publishing Group Nature Portfolio
Témata:	631/67 692/4028 692/499 Aged Algorithms Calibration Carcinoma, Hepatocellular - mortality Carcinoma, Hepatocellular - pathology Databases, Factual Datasets Deep Learning Epidemiology Female Hepatocellular carcinoma Humanities and Social Sciences Humans Liver cancer Liver Neoplasms - epidemiology Liver Neoplasms - mortality Liver Neoplasms - pathology Machine learning Male Malignancy Middle Aged multidisciplinary Neural networks Neural Networks, Computer Patients Predictive model Primary liver cancer Prognosis Proportional Hazards Models Science Science (multidisciplinary) SEER SEER Program Statistical analysis Surveillance Survival Survival Rate United States - epidemiology United States United States > US Deep learning SEER Primary liver cancer Predictive model Machine learning
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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