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USDA
multi-state project “Integrated Approach to Prevention
of Obesity in High Risk Families”
In this project,
we develop fuzzy-set-theory-based methodologies for the
measurement of behavioral differences to identify key
behaviors in childhood obesity. The identified behaviors will
be used by health and nutrition professionals on this project
team to develop an integrated strategy for childhood obesity
prevention.
Finding
Diabetes Associated Genes with Fuzzy-Inferenced
Decisionmaking
Collaborator: Dr. Deepak Kumar, Biology
Dept. UDC
The goal of this project is to identify genes
that are associated with diabetes with fuzzy-inference
decisionmaking.
Breast
Cancer Risk Model for Women Receiving Uninformative
BRCA1/BRCA2 Mutation Test Results
Collaborator: Dr. Marc
Schwartz, Lombardi Comprehensive Cancer Center, Georgetown
University
The goal of this project is to develop a model
that estimate the risk of breast and ovarian cancer for women
who received uninformative test results for their genetic
testing.
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