Open access
2026
An interpretable machine learning model for diagnostic classification of liver cancer using multivariable clinical data.
In this retrospective analysis, we used routinely collected clinical variables to develop a machine learning model for liver cancer diagnosis and examined the variables that contributed to model performance. We studied 3,629 people who were assessed because they were suspected to have liver cancer or other liver diseas...
Dianyu Wang, Xiao Li, Zu-Heng Wang et al.
· American Journal of Cancer R... · 0 citations