BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Sung Hoon Kim; Sae Byeol Choi; Jae Gil Lee; Seung Up Kim; Mi-Suk Park; Do Young Kim; Jin Sub Choi; Kyung Sik Kim Journal: J Gastrointest Surg Date: 2011-02-19 Impact factor: 3.452
Authors: N K Francis; A Luther; E Salib; L Allanby; D Messenger; A S Allison; N J Smart; J B Ockrim Journal: Tech Coloproctol Date: 2015-06-19 Impact factor: 3.781
Authors: Jennifer N Cooper; Lai Wei; Soledad A Fernandez; Peter C Minneci; Katherine J Deans Journal: Comput Biol Med Date: 2014-12-08 Impact factor: 4.589