Pulse Diagnosis Signals Analysis of Fatty Liver Disease and Cirrhosis Patients by Using Machine Learning

Figure 10

Classification by PCA. The accuracy that we cannot classify the signals of the 2 groups by the 1st principal component is 0.17, which means that the accuracy to classify this 2 groups is 83%. The blue points (patients with FLD) mainly appeared in the left side of the red point and the green ones (healthy volunteers) appeared in the right side. And the accuracy by 1st principal component and the 3rd principal component is 84%.