1.
Chinese Journal of Medical Library and Information Science
;
(12): 7-13, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-712414
RESUMEN
The factors influencing the prognosis of colorectal cancer were studied after its characteristic variables were screened by stepwise logistic regression analysis, Bayesian model averaging analysis, and LASSO regression a-nalysis respectively. A model of colorectal cancer prognosis was established according to the artificial neural net-work classification algorithm for the assessment of colorectal cancer. The highest accuracy was detected in the model of colorectal cancer prognosis established by Bayesian model averaging analysis combined with artificial neural net-work classification algorithm.