Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining

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BIBE
2009
2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering
Abstract - Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining

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	Similar Articles Articles by Christina Schweikert Articles by Yanjun Li Articles by David Dayya Articles by David Yens Articles by Martin Torrents Articles by D. Frank Hsu

2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering

Taichung, Taiwan

June 22-June 24

ISBN: 978-0-7695-3656-9

	ASCII Text	x
	Christina Schweikert, Yanjun Li, David Dayya, David Yens, Martin Torrents, D. Frank Hsu, "Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining," Bioinformatic and Bioengineering, IEEE International Symposium on, pp. 400-404, 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009.

	BibTex	x
	@article{ 10.1109/BIBE.2009.69, author = {Christina Schweikert and Yanjun Li and David Dayya and David Yens and Martin Torrents and D. Frank Hsu}, title = {Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining}, journal ={Bioinformatic and Bioengineering, IEEE International Symposium on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3656-9}, pages = {400-404}, doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2009.69}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Bioinformatic and Bioengineering, IEEE International Symposium on TI - Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining SN - 978-0-7695-3656-9 SP400 EP404 A1 - Christina Schweikert, A1 - Yanjun Li, A1 - David Dayya, A1 - David Yens, A1 - Martin Torrents, A1 - D. Frank Hsu, PY - 2009 KW - Combinatorial Fusion Analysis (CFA) KW - Rank-Score Characteristic (RSC) graph KW - Multiple Scoring Systems KW - Information Fusion KW - Association Rule Mining KW - Data Mining KW - autism KW - neurotoxins KW - lead KW - mercury VL - 0 JA - Bioinformatic and Bioengineering, IEEE International Symposium on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBE.2009.69

The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been investigated. An area of focus is the affect of exposure to neurotoxins, such as mercury and lead, during critical stages in a child’s early development. In this study we apply Combinatorial Fusion Analysis (CFA) and Association Rule Mining (ARM) to autism prevalence, mercury, and lead data to generate hypotheses and explore possible associations.

Index Terms:

Combinatorial Fusion Analysis (CFA), Rank-Score Characteristic (RSC) graph, Multiple Scoring Systems, Information Fusion, Association Rule Mining, Data Mining, autism, neurotoxins, lead, mercury

Citation:

Christina Schweikert, Yanjun Li, David Dayya, David Yens, Martin Torrents, D. Frank Hsu, "Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining," bibe, pp.400-404, 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

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