Cohort-Derived Machine Learning Models for Individual Prediction of Chronic Kidney Disease in People Living With Human Immunodeficiency Virus: A Prospective Multicenter Cohort Study.

Abstract

Authors

• Jan A Roth
  1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
• Gorjan Radevski
  IBM Research-Zurich, Rüschlikon, Switzerland.
• Catia Marzolini
  Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.
• Andri Rauch
  University Clinic of Infectious Diseases, University Hospital Bern, University of Bern, Bern, Switzerland.
• Huldrych F Günthard
  Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
• Roger D Kouyos
  Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
• Christoph A Fux
  Clinic for Infectious Diseases and Hospital Hygiene, Kantonsspital Aarau, Aarau, Switzerland.
• Alexandra U Scherrer
  Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
• Alexandra Calmy
  Division of Infectious Diseases, University Hospital Geneva, University of Geneva, Geneva, Switzerland.
• Matthias Cavassini
  Infectious Disease Service, Lausanne university hospital, University of Lausanne, Lausanne, Switzerland.
• Christian R Kahlert
  Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland.
• Enos Bernasconi
  Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland.
• Jasmina Bogojeska
  IBM Research-Zurich, Rüschlikon, Switzerland.
• Manuel Battegay
  1Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.

Keywords

External Resources