The goal of this prospective observational cohort study is to validate previously developed Hepatocellular Carcinoma (HCC) risk prediction algorithms, the Liver Risk Computation (LIRIC) models, which are based on electronic health records. The main questions it aims to answer are: * Will our retrospectively developed general population LIRIC models, developed on routine EHR data, perform similarly when prospectively validated, and reliably and accurately predict HCC in real-time? * What is the average time from model deployment and risk prediction, to the date of HCC development and what is the stage of HCC at diagnosis? The risk model will be deployed on data from individuals eligible for the study. Each individual will be assigned a risk score and tracked over time to assess the model's discriminatory performance and calibration.
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Area under the receiver operating characteristic curve (AUROC) of LIRIC for all groups stratified
Timeframe: 6 months from index date, at 1 year, 2 years and 3 years
Calibration of LIRIC for all groups stratified
Timeframe: 6 months from index date, at 1 year, 2 years and 3 years
Performance metrics for LIRIC model risk quantiles
Timeframe: 6 months from index date, at 1 year, 2 years and 3 years