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A Grid-Based Hiv Expert System

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Abstract

Objectives.This paper addresses Grid-based integration and access of distributed data from infectious disease patient databases, literature on in-vitro and in-vivo pharmaceutical data, mutation databases, clinical trials, simulations and medical expert knowledge. Methods. Multivariate analyses combined with rule-based fuzzy logic are applied to the integrated data to provide ranking of patient-specific drugs. In addition, cellular automata-based simulations are used to predict the drug behaviour over time. Access to and integration of data is done through existing Internet servers and emerging Grid-based frameworks like Globus. Data presentation is done by standalone PC based software, Web-access and PDA roaming WAP access. The experiments were carried out on the DAS2, a Dutch Grid testbed. Results. The output of the problem-solving environment (PSE) consists of a prediction of the drug sensitivity of the virus, generated by comparing the viral genotype to a relational database which contains a large number of phenotype-genotype pairs.Conclusions. Artificial Intelligence and Grid technology are effectively used to abstract knowledge from the data and provide the physicians with adaptive interactive advice on treatment applied to drug resistant HIV. An important aspect of our research is to use a variety of statistical and numerical methods to identify relationships between HIV genetic sequences and antiviral resistance to investigate consistency of results.

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Authors and Affiliations

  1. Section Computational Science, University of Amsterdam, Kruislaan 403, 1098, Amsterdam, SJ, The Netherlands

    Peter M. A. Sloot & Alfredo Tirado-Ramos

  2. Institute for High Performance Computing and Information Systems, Bering St 38, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Virology Education, 69042, Utrecht, The Netherlands

    Wilco Keulen

  4. University Medical Center, University of Utrecht, 3508, GA, Utrecht, The Netherlands

    Charles A. Boucher

  5. Section Computational Science, University of Amsterdam, Kruislaan 403, 1098, SJ, Amsterdam, The Netherlands

    Peter M. A. Sloot

Authors
  1. Peter M. A. Sloot
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  2. Alexander V. Boukhanovsky
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  3. Wilco Keulen
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  4. Alfredo Tirado-Ramos
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  5. Charles A. Boucher
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Correspondence to Peter M. A. Sloot.

Additional information

Based on “A Grid-based HIV Expert System”, by P.M.A. Sloot, A.V. Boukhanovsky, W. Keulen, and C.A. Boucher, which appeared in the IEEE/ACM International Symposium on Cluster Computing and the Grid, Cardiff, UK, May 9-12, 2005. © 2005 IEEE.

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Sloot, P.M.A., Boukhanovsky, A.V., Keulen, W. et al. A Grid-Based Hiv Expert System. J Clin Monit Comput 19, 263–278 (2005). https://doi.org/10.1007/s10877-005-0673-2

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  • DOI: https://doi.org/10.1007/s10877-005-0673-2

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