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BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
13 years 10 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 4 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
CONEXT
2007
ACM
13 years 6 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
BMCBI
2005
100views more  BMCBI 2005»
13 years 4 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
ICCV
2005
IEEE
13 years 10 months ago
A Study of Detecting Social Interaction with Sensors in a Nursing Home Environment
Social interaction plays an important role in our daily lives. It is one of the most important indicators of physical or mental diseases of aging patients. In this paper, we presen...
Datong Chen, Jie Yang, Howard D. Wactlar