dc.contributor.authorSloot, Peter M. A.
dc.contributor.authorBoukhanovsky, Alexander V.
dc.contributor.authorKeulen, Wilco.
dc.contributor.authorBoucher, Charles A. B.
dc.date.accessioned2013-06-11T02:22:13Z
dc.date.available2013-06-11T02:22:13Z
dc.date.copyright2005en_US
dc.date.issued2005
dc.identifier.citationSloot, P. M. A., Boukhanovsky, A. V., Keulen, W., & Boucher, C. A. (2005). A Grid-based HIV Expert System. Proceedings of the 5th International Symposium on Cluster Computing and Grid, 1, 471-486.en_US
dc.identifier.urihttp://hdl.handle.net/10220/10150
dc.description.abstractThis 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. Artificial intelligence and grid technology is 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. 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. 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 overtime. 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 DAS, a Dutch Grid testbed.en_US
dc.language.isoenen_US
dc.rights© 2005 IEEE Computer Society Washington.en_US
dc.titleA grid-based HIV expert systemen_US
dc.typeConference Paper
dc.contributor.conferenceInternational Symposium on Cluster Computing and Grid (5th : 2005)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US


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