Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study)
| Autor: | A-M Vandamme, Eugen Schülter, Maurizio Zazzi, Deenan Pillay, Daniel Struck, Robert W. Shafer, Françoise Brun-Vézinet, Lynn Morris, Rolf Kaiser, A.M.J. Wensing, Michal Rosen-Zvi, Martin Obermeier, Francesca Incardona, K. Van Laethem, Yardena Peres, Anders Sönnerborg, C-F Perno, Charles A. Boucher, Andrea Petróczi, Andre Altmann, Mattia Prosperi, Praphan Phanuphak, Thomas Lengauer, P. R. Harrigan |
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| Rok vydání: | 2010 |
| Předmět: |
0303 health sciences
medicine.medical_specialty 030306 microbiology business.industry Health Policy Patient data computer.software_genre Antiretroviral therapy Response to treatment Pearson product-moment correlation coefficient Expert system 3. Good health Data-driven Data set 03 medical and health sciences symbols.namesake Regimen Infectious Diseases symbols Medicine Pharmacology (medical) Medical physics business computer 030304 developmental biology |
| Zdroj: | HIV Medicine. 12:211-218 |
| ISSN: | 1464-2662 |
| Popis: | Objectives The EuResist expert system is a novel data-driven online system for computing the probability of 8-week success for any given pair of HIV-1 genotype and combination antiretroviral therapy regimen plus optional patient information. The objective of this study was to compare the EuResist system vs. human experts (EVE) for the ability to predict response to treatment. Methods The EuResist system was compared with 10 HIV-1 drug resistance experts for the ability to predict 8-week response to 25 treatment cases derived from the EuResist database validation data set. All current and past patient data were made available to simulate clinical practice. The experts were asked to provide a qualitative and quantitative estimate of the probability of treatment success. Results There were 15 treatment successes and 10 treatment failures. In the classification task, the number of mislabelled cases was six for EuResist and 6–13 for the human experts [mean±standard deviation (SD) 9.1±1.9]. The accuracy of EuResist was higher than the average for the experts (0.76 vs. 0.64, respectively). The quantitative estimates computed by EuResist were significantly correlated (Pearson r=0.695, P |
| Databáze: | OpenAIRE |
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