Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa.

Journal: Hepatology communications
PMID:

Abstract

BACKGROUND: Little is known about the determinants of disease progression among African patients with chronic HBV infection.

Authors

  • Hailemichael Desalegn
    Medical Department, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Xianchen Yang
    Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Yi-Syuan Yen
    Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Nega Berhe
    Department of Infectious Diseases, Vestfold Hospital Trust, Tønsberg, Norway.
  • Brooke Kenney
    Menelik II Medical and Health Science College, Addis Ababa, Ethiopia.
  • Geoffrey H Siwo
    Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA.
  • Weijing Tang
    Department of Statistics, University of Michigan, Ann Arbor.
  • Ji Zhu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Akbar K Waljee
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
  • Asgeir Johannessen
    Department of Infectious Diseases, Vestfold Hospital Trust, Tønsberg, Norway.