Machine learning assessment for severity of liver fibrosis for chronic hbv based on physical layer with serum markers

HIGHLIGHTS

  • who: NAIPING LI et al. from the School of Infectious Disease, Second Xiangya Hospital, Central South University, Changsha, China have published the article: Machine Learning Assessment for Severity of Liver Fibrosis for Chronic HBV Based on Physical Layer With Serum Markers, in the Journal: (JOURNAL)
  • what: The authors aimed to develop a computer-assisted assessment system for the evaluation of liver disease severity by using machine leaning classifier based on physical-layer with serum markers.
  • how: In this work four machine_learning methods including DTC RFC LRC and SVC were used to establish models . . .

     

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