Online diagnosis of liver damage according to the results of blood tests

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HOW IT WORKS ?

FP Test is a method for diagnosing the stage of liver fibrosis and the degree of activity of chronic hepatitis according to the results of blood tests.

The method is a machine learning model based on an artificial neural network that accepts the following clinical and laboratory parameters: gender, age, height and weight of the patient, as well as platelet count, levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST) and gamma-glutamyltranspeptidases (GGT).

ACCURACY

The “gold standard” for diagnosing the stage of fibrosis, cirrhosis and the degree of activity of chronic hepatitis is a pathomorphological study of liver biopsy.

The accuracy of the method for the diagnosis of stage 3-4 liver fibrosis in comparison with a liver biopsy is 79% (Sens = 70%, Spec = 87%).

The accuracy of the method for diagnosing moderate or severe hepatitis activity compared with liver biopsy is 79% (Sens = 78%, Spec = 80%).

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The results of the study should be evaluated by a specialist doctor taking into account other results of the clinical and laboratory examination of the patient.