Shugui Sheng
Beijing, China
Last Updated: 09/26/2026
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Found 9 publications
Prognostic model for predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study.
Journal: Frontiers in immunology
Published: July 04, 2024
Machine learning-based model for predicting tumor recurrence after interventional therapy in HBV-related hepatocellular carcinoma patients with low preoperative platelet-albumin-bilirubin score.
Journal: Frontiers in immunology
Published: March 30, 2024
Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation.
Journal: Frontiers in oncology
Published: March 03, 2024
Nomogram for predicting post-therapy recurrence in BCLC A/B hepatocellular carcinoma with Child-Pugh B cirrhosis.
Journal: Frontiers in immunology
Published: January 13, 2024
The Current State and Progress of Mpox Vaccine Research.
Journal: China CDC weekly
Published: December 06, 2023
Machine Learning-Based Nomogram for Predicting Overall Survival in Elderly Patients with Cirrhotic Hepatocellular Carcinoma Undergoing Ablation Therapy.
Journal: Journal of hepatocellular carcinoma
Published: December 03, 2023
A novel nomogram to predict the overall survival of early-stage hepatocellular carcinoma patients following ablation therapy.
Journal: Frontiers in oncology
Published: November 17, 2023
Comparing sputum microbiota characteristics between severe and critically ill influenza patients.
Journal: Frontiers in cellular and infection microbiology
Published: September 20, 2023
Showing 1-9 of 9
Last Updated: 09/26/2026