Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection.
Anaram Yaghoobi NotashAidin Yaghoobi NotashZahra OmidiShahpar HaghighatPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- breast cancer
- feature selection
- prognostic factors
- learning algorithm
- outcome prediction
- breast cancer patients
- cancer patients
- survival analysis
- bladder cancer
- diagnosis of breast cancer
- breast cancer diagnosis
- cancer treatment
- computer aided diagnosis
- ensemble classifier
- training data
- logistic regression
- machine learning
- clinical diagnosis
- prediction accuracy
- early detection
- disease progression
- feature ranking
- text categorization
- active learning
- computer aided detection
- ensemble methods
- feature extraction
- text classification
- support vector
- naive bayes
- feature space
- classification accuracy
- support vector machine
- mammogram images
- feature set
- dce mri
- computer aided
- cad systems
- unlabeled data
- prostate cancer