Analysis of autism prevalence and neurotoxins using combinatorial fusion and association rule mining

Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

Volumn , Issue , 2009, Pages 400-404

  Schweikert, Christina ^a   Li, Yanjun ^a   Dayya, David ^b   Yens, David ^c   Torrents, Martin ^b   Hsu, D Frank ^a  

^a FORDHAM UNIVERSITY   (United States)

^b ST BARNABAS HOSPITAL   (United States)

^c NEW YORK INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Association Rule Mining; Autism; Combinatorial Fusion Analysis (CFA); Data Mining; Information Fusion; Lead; Mercury; Multiple Scoring Systems; Neurotoxins; Rank score Characteristic (RSC) graph

Indexed keywords

ASSOCIATION RULE MINING; AUTISM; COMBINATORIAL FUSION ANALYSIS (CFA); MERCURY; MULTIPLE SCORING SYSTEMS; NEUROTOXINS; RANK-SCORE CHARACTERISTIC (RSC) GRAPH;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; BIOINFORMATICS; FEEDBACK AMPLIFIERS; INFORMATION FUSION; MERCURY (METAL); MINING;

DATA MINING;

EID: 70449379885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2009.69     Document Type: Conference Paper

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