Predicting the disease of Alzheimer with SNP biomarkers and clinical data using data mining classification approach: decision tree.

Abstract excerpt

Single Nucleotide Polymorphisms (SNPs) are the most common genomic variations where only a single nucleotide differs between individuals. Individual SNPs and SNP profiles associated with diseases can be utilized as biological markers. But there is a need to determine the SNP subsets and patients' clinical data which is informative for the diagnosis. Data mining approaches have the highest potential for extracting...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Alzheimer Disease
• Share to Data Mining
• Share to Databases, Genetic