Development of a Novel Model for Predicting Postoperative Short-Term Outcome in Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure Undergoing Liver Transplantation

Qikun Zhang; Menglong Wang; Guangming Li; Zhongtao Zhang

doi:10.12659/AOT.936732

26 August 2022: Original Paper

Development of a Novel Model for Predicting Postoperative Short-Term Outcome in Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure Undergoing Liver Transplantation

Qikun Zhang ^12ABCDEF , Menglong Wang ^2ADF , Guangming Li ^2BDG , Zhongtao Zhang ^1ADE*

DOI: 10.12659/AOT.936732

Ann Transplant 2022; 27:e936732

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Figure 1 The coefficient compression path map (L1 penalty regularization) (A) and determination of the number of variables selected (lambda.1se: 0.0695) (B).

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Development of a Novel Model for Predicting Postoperative Short-Term Outcome in Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure Undergoing Liver Transplantation

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