Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest.
Susmita PalmalNikhilanand AryaSriparna SahaSomanath TripathyPublished in: Appl. Soft Comput. (2024)
Keyphrases
- breast cancer
- random forest
- survival analysis
- logistic regression
- decision trees
- breast cancer diagnosis
- breast cancer patients
- computer aided diagnosis
- diagnosis of breast cancer
- feature set
- ensemble methods
- fold cross validation
- mammogram images
- cancer patients
- multi label
- cancer classification
- feature selection
- naive bayes
- breast tissue
- pairwise
- training data
- data sets
- bladder cancer