Copyright
©The Author(s) 2019.
World J Gastroenterol. Oct 7, 2019; 25(37): 5655-5666
Published online Oct 7, 2019. doi: 10.3748/wjg.v25.i37.5655
Published online Oct 7, 2019. doi: 10.3748/wjg.v25.i37.5655
Table 2 Confusion matrix, reliability, and accuracy of Bayesian network model
| Survival time (n) | ≤ 9 m (n = 114) | > 9 m (n = 130) | |
| Confusion matrix (n) | ≤ 9 m (128) | 84 | 44 |
| > 9 m (116) | 30 | 86 | |
| Reliability (%) | ≤ 9 m (128) | 65.62% | 34.38% |
| > 9 m (116) | 25.86% | 74.14% | |
| Accuracy (%) | ≤ 9 m (128) | 73.68% | 33.85% |
| > 9 m (116) | 26.32% | 66.15% |
- Citation: Geng ZM, Cai ZQ, Zhang Z, Tang ZH, Xue F, Chen C, Zhang D, Li Q, Zhang R, Li WZ, Wang L, Si SB. Estimating survival benefit of adjuvant therapy based on a Bayesian network prediction model in curatively resected advanced gallbladder adenocarcinoma. World J Gastroenterol 2019; 25(37): 5655-5666
- URL: https://www.wjgnet.com/1007-9327/full/v25/i37/5655.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i37.5655