Title
A grid-based HIV expert system
Abstract
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. 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.
Year
DOI
Venue
2005
10.1007/s10877-005-0673-2
CCGrid
Keywords
Field
DocType
expert systems,clinical trials,fuzzy logic,multivariate analyses,das,microorganisms,relational database,pharmaceuticals,grid computing,in vitro,numerical methods,distributed databases,artificial intelligence,data presentation,data integration,immune system,genetics
Data integration,Data mining,Problem solving environment,Grid computing,Relational database,Computer science,Expert system,Distributed database,Roaming,Grid
Conference
Volume
Issue
ISBN
19
4
0-7803-9074-1
Citations 
PageRank 
References 
7
1.01
2
Authors
4
Name
Order
Citations
PageRank
Peter M. A. Sloot13095513.51
Alexander Boukhanovsky212715.02
Wilco Keulen381.77
Charles A. Boucher4976.74