Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects.
Soumaya Trabelsi Ben AmeurDorra SellamiLaurent WendlingFlorence CloppetPublished in: Big Data Cogn. Comput. (2019)
Keyphrases
- semantic analysis
- high risk
- breast cancer diagnosis
- choquet integral
- feature selection
- breast cancer
- fuzzy measures
- natural language
- risk factors
- text categorization
- semantic information
- natural language processing
- nonlinear models
- feature set
- prostate cancer
- cancer diagnosis
- possibility theory
- machine learning
- text classification
- feature space
- high dimensionality
- aggregation operators
- classification accuracy
- support vector machine
- feature extraction
- support vector
- gene expression data
- bayesian networks
- risk assessment
- data sets
- model selection
- training data
- feature ranking
- cancer classification