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Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study)

  • M. Zazzi
  • , R. Kaiser
  • , A. Sönnerborg
  • , D. Struck
  • , A. Altmann
  • , M. Prosperi
  • , M. Rosen-Zvi
  • , A. Petroczi
  • , Y. Peres
  • , E. Schülter
  • , Ca Boucher
  • , F. Brun-Vezinet
  • , Pr Harrigan
  • , L. Morris
  • , M. Obermeier
  • , C. F. Perno
  • , P. Phanuphak
  • , D. Pillay
  • , Rw Shafer
  • , A. M. Vandamme
  • K. van Laethem, Amj Wensing, T. Lengauer, F. Incardona
    • University of Siena
    • University of Cologne
    • Karolinska Institutet
    • Luxembourg Institute of Health
    • Max Planck Institute for Informatics
    • Catholic University of the Sacred Heart
    • IBM
    • Kingston University
    • Erasmus University Rotterdam
    • Université Paris Cité
    • University of British Columbia
    • National Health Laboratory Services
    • Ludwig Maximilian University of Munich
    • University of Rome Tor Vergata
    • Thai Red Cross Society
    • University College London
    • Stanford University
    • KU Leuven
    • Utrecht University
    • Informa S.r.l.

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)211-218
    JournalHIV Medicine
    Volume12
    Issue number4
    DOIs
    Publication statusPublished - Apr 2011

    Keywords

    • antiretroviral therapy
    • drug resistance
    • genotype
    • hiv type 1
    • prediction systems
    • genotypic resistance
    • interpretation algorithms
    • regression
    • advice
    • impact

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