Development and validation of an interpretable machine learning model for predicting the risk of hepatocellular carcinoma in patients with chronic hepatitis B: a case-control study.

Abstract

Authors

• Linghong Wu
  Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
• Zengjing Liu
  Information and Management College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
• Hongyuan Huang
  Department of Urology, Jinjiang Municipal Hospital, Quanzhou, Fujian Province, 362200, China.
• Dongmei Pan
  Medical Records Data Center, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, 545000, China.
• Cuiping Fu
  Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, 215006, Suzhou, Jiangsu, China. fucuipingjy@163.com.
• Yao Lu
  Department of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, Ningbo First Hospital, Ningbo, China.
• Min Zhou
  Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
• Kaiyong Huang
  Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
• TianRen Huang
  Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China. tianrenhuang@sina.com.
• Li Yang
  Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Keywords

External Resources