A grid-based HIV expert system
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 combi...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84464 http://hdl.handle.net/10220/10149 |
| _version_ | 1811685469354721280 |
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| author | Sloot, Peter M. A. Boukhanovsky, Alexander V. Keulen, Wilco. Tirado-Ramos, Alfredo. Boucher, Charles A. B. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Sloot, Peter M. A. Boukhanovsky, Alexander V. Keulen, Wilco. Tirado-Ramos, Alfredo. Boucher, Charles A. B. |
| author_sort | Sloot, Peter M. A. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:45:01Z |
| format | Journal Article |
| id | ntu-10356/84464 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:45:01Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/844642020-05-28T07:17:50Z A grid-based HIV expert system Sloot, Peter M. A. Boukhanovsky, Alexander V. Keulen, Wilco. Tirado-Ramos, Alfredo. Boucher, Charles A. B. School of Computer Engineering 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. 2013-06-11T02:19:13Z 2019-12-06T15:45:39Z 2013-06-11T02:19:13Z 2019-12-06T15:45:39Z 2005 2005 Journal Article Sloot, P. M. A., Boukhanovsky, A. V., Keulen, W., Tirado-Ramos, A., & Boucher, C.A. (2005). A Grid-Based HIV Expert System. Journal of Clinical Monitoring and Computing, 19(4-5), 263-278. https://hdl.handle.net/10356/84464 http://hdl.handle.net/10220/10149 10.1007/s10877-005-0673-2 en Journal of clinical monitoring and computing © 2005 Springer. |
| spellingShingle | Sloot, Peter M. A. Boukhanovsky, Alexander V. Keulen, Wilco. Tirado-Ramos, Alfredo. Boucher, Charles A. B. A grid-based HIV expert system |
| title | A grid-based HIV expert system |
| title_full | A grid-based HIV expert system |
| title_fullStr | A grid-based HIV expert system |
| title_full_unstemmed | A grid-based HIV expert system |
| title_short | A grid-based HIV expert system |
| title_sort | grid based hiv expert system |
| url | https://hdl.handle.net/10356/84464 http://hdl.handle.net/10220/10149 |
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