Machine learning models for predicting liver cancer: a real-world cohort study in China
The findings support the feasibility of leveraging large-scale inpatient laboratory data for risk-stratification model development and show good discrimination and interpretability for liver cancer prediction in a hospitalized real-world cohort using routinely available clinical and laboratory data.