A liver fibrosis assessment model includes following establishing steps. A reference database is obtained, wherein the reference database includes a plurality of reference blood test data. A preprocessing step of the blood test data is performed. A feature extracting step is performed, wherein the feature extracting step is for extracting at least one eigenvalue according to the reference database. A normalizing step of the blood test data is performed. A classifying step is performed, wherein the classifying step is for achieving a convergence of the normalized reference blood test data by using a gradient boosting algorithm so as to obtain the liver fibrosis assessment model. The liver fibrosis assessment model is used to assess whether a subject suffers from liver fibrosis and predict a degree of liver fibrosis of the subject.
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