Liver Biomarkers And Treatments

Dataset Description This dataset appears to focus on liver health, metabolic markers, and the effects of different medications. It includes a mix of demographic, clinical, biochemical, and histopathological data points. Below is a detailed breakdown: Demographic Information: Gender: Gender of the individual (e.g., 0 for male, 1 for female or vice versa). Age: Age of the individual in years. Medication Usage: Statin_Usage: Indicates whether statins are being used (0 = no, 1 = yes). Ezetimibe_Usage: Indicates usage of ezetimibe (0 = no, 1 = yes). Fibrate_Usage: Indicates usage of fibrates (0 = no, 1 = yes). EPA_Usage: Indicates usage of EPA (0 = no, 1 = yes). Biochemical Markers: GPT: Levels of glutamate pyruvate transaminase (GPT), a liver enzyme. Gamma-GTP: Levels of gamma-glutamyl transferase (GGT), another liver enzyme. Triglycerides_Serum: Serum triglyceride levels. Lp(a)_mg_dL: Lipoprotein(a) levels measured in mg/dL. Histopathological Findings: Lobular_Inflammation_1, Lobular_Inflammation_2, Lobular_Inflammation_3: Severity levels of lobular inflammation. Ballooning_1, Ballooning_2: Levels of hepatocyte ballooning, indicative of cellular damage. Steatosis_2, Steatosis_3: Levels of steatosis, representing fat accumulation in the liver. Groups and Conditions: Group_Statin+Ezetimibe: Group classification based on combined statin and ezetimibe usage. LiverStage_1, LiverStage_2: Categorical liver disease stages (e.g., 1 for early stage, 2 for advanced stage).