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

<div>Classification by LASSO. The accuracy that we cannot classify the signals of the 2 groups by 3 parameters is 0.19, which means that the accuracy to classify this 2 groups is 81%, and the green samples (healthy volunteers) mainly appeared in the left side of the red point and the blue ones (patients with FLD) appeared in the right side.</div>

The Scientific World Journal

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Figure 12

Figure 12: Pulse Diagnosis Signals Analysis of Fatty Liver Disease and Cirrhosis Patients by Using Machine Learning 