Caffeine Intake, Race, and Risk of Invasive Breast Cancer Lessons Learned from Data Mining a Clinical Database.
Susan MaskeryYonghong ZhangHai HuCraig D. ShriverJeffrey HookeMichael N. LiebmanPublished in: CBMS (2006)
Keyphrases
- 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