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MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 8 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
15 years 6 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
CCGRID
2006
IEEE
15 years 10 months ago
A Feedback Mechanism for Network Scheduling in LambdaGrids
Next-generation e-Science applications will require the ability to transfer information at high data rates between distributed computing centers and data repositories. A LambdaGri...
Pallab Datta, Sushant Sharma, Wu-chun Feng
CGF
2008
142views more  CGF 2008»
15 years 6 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
ISI
2006
Springer
15 years 6 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...