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Caffeine Intake, Race, and Risk of Invasive Breast Cancer Lessons Learned from Data Mining a Clinical Database.
Susan Maskery
Yonghong Zhang
Hai Hu
Craig D. Shriver
Jeffrey Hooke
Michael N. Liebman
Published in:
CBMS (2006)
Keyphrases
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lessons learned
breast cancer
bladder cancer
data mining
breast cancer patients
data mining and statistical
case study
clinical diagnosis
breast cancer diagnosis
cancer patients
diagnosis of breast cancer
early detection
cancer treatment
logistic regression
computer aided diagnosis
computer aided detection
mammogram images
outcome prediction
clinical data
survival analysis
medical data
disease progression
data mining methods
knowledge discovery
text mining
benign and malignant
cancer datasets
data analysis
support vector
cad systems
traditional chinese medicine
association rules
risk assessment
computer aided
microcalcification clusters
data mining techniques