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The electronic health record is now becoming a hot topic in the medical community largely owing to the rapid advances in both information technology and emerging personalized medicine. In pediatric research and clinical care, an important issue is to find the physical growth percentiles. Prior to the advent of electronic medical records, height and weight were measured and manually plotted on the...
NCBI has been accumulating a large repository of microarray data sets, namely Gene Expression Omnibus (GEO). GEO is a great resource enabling one to pursue various biological and pathological questions. The question we ask here is: given a set of gene signatures and a classifier, what is the best minimum sample size in a clinical microarray research that can effectively distinguish different types...
This paper aims to conduct supervised learning of the cigarette-smoking signatures from the placental gene expression data sets under the neural network framework and build classifiers to identify the cigarette-smoking moms during pregnancy. First, a unified model for gene selection is proposed to single out a set of informative gene sets (up-or down-regulated genes). The selected signature gene sets...
Chronic (non-communicable) diseases—principally cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes—are leading causes of death and disability but are surprisingly neglected elements of the global-health agenda. They are underappreciated as development issues and underestimated as diseases with profound economic effects. Achievement of the global goal for prevention and control...
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