Decision Tree Model Based Gene Selection and Classification for Breast Cancer Risk Prediction.
Mohammed HamimIsmail El MouddenHicham MoutachaouikMustapha HainPublished in: SADASC (2020)
Keyphrases
- breast cancer
- bladder cancer
- decision trees
- gene selection
- breast cancer diagnosis
- logistic regression
- cancer diagnosis
- cancer classification
- mammogram images
- outcome prediction
- selected genes
- wilcoxon rank sum
- gene expression profiles
- microarray data
- survival analysis
- support vector machine svm
- microcalcification clusters
- early detection
- microarray
- machine learning
- microarray datasets
- machine learning algorithms
- feature selection
- gene expression datasets
- gene expression data
- random forest
- breast cancer patients
- classification accuracy
- informative genes
- dna microarray
- clinical diagnosis
- naive bayes
- pattern recognition
- gene expression
- support vector
- cancer detection
- cancer patients
- training set
- support vector machine
- breast tissue
- high dimensional
- feature vectors
- supervised learning
- text classification
- feature extraction
- feature ranking
- data mining