Artificial Neural Network Model for Predicting 5-Year Mortality After Surgery for Hepatocellular Carcinoma: A Nationwide Study

doi:10.1007/s11605-012-1986-3

CNU IR > Pharmacy and Science > Dept. of Pharmacy > Periodical Articles > Item 310902800/27538

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/27538

题名:	Artificial Neural Network Model for Predicting 5-Year Mortality After Surgery for Hepatocellular Carcinoma: A Nationwide Study
作者:	Shi, Hon-Yi Lee, King-Teh Wang, Jhi-Joung Sun, Ding-Ping Lee, Hao-Hsien Chiu, Chong-Chi
贡献者:	藥學系
关键词:	Hepatocellular Carcinoma Artificial Neural Network Logistic Regression Five-Year Mortality Rate
日期:	2012-11
上传时间:	2014-03-21 16:12:48 (UTC+8)
出版者:	Springer
摘要:	To validate the use of artificial neural network (ANN) models for predicting 5-year mortality in HCC and to compare their predictive capability with that of logistic regression (LR) models.This study retrospectively compared LR and ANN models based on initial clinical data for 22,926 HCC surgery patients from 1998 to 2009. A global sensitivity analysis was also performed to assess the relative significance of input parameters in the system model and to rank the importance of variables.Compared to the LR models, the ANN models had a better accuracy rate in 96.57 % of cases, a better Hosmer-Lemeshow statistic in 0.34 of cases, and a better receiver operating characteristic curves in 88.51 % of cases. Surgeon volume was the most influential (sensitive) parameter affecting 5-year mortality followed by hospital volume and Charlson co-morbidity index.In comparison with the conventional LR model, the ANN model in this study was more accurate in predicting 5-year mortality. Further studies of this model may consider the effect of a more detailed database that includes complications and clinical examination findings as well as more detailed outcome data.
關聯:	Journal of Gastrointestinal Surgery, 16(11), 2126-2131
显示于类别:	[Dept. of Pharmacy] Periodical Articles

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	2583	检视/开启

在CNU IR中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....