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Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

A more detailed analysis of the dataset can be found in the study by Männikkö et al [14]. The original research on the CLiv D score introduced 2 risk calculation models: Modellab and Modelnonlab. Both models predict the risk of chronic liver disease in people aged 40 years or older. The difference between models is that Modellab also considers the person’s gamma glutamyl transferase (GGT) laboratory test result. Both risk calculators have 4 different exclusion criteria [1].

Viljami Männikkö, Janne Tommola, Emmi Tikkanen, Olli-Pekka Hätinen, Fredrik Åberg

JMIR Med Inform 2025;13:e62978