Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models.
Yinchong YangPeter A. FaschingVolker TrespPublished in: MLHC (2017)
Keyphrases
- breast cancer
- survival analysis
- recurrent neural networks
- echo state networks
- breast cancer diagnosis
- neural network
- early detection
- logistic regression
- computer aided diagnosis
- diagnosis of breast cancer
- nonlinear dynamic systems
- predictive modeling
- regression model
- disease progression
- reservoir computing
- mathematical modeling
- feed forward
- artificial neural networks
- computer aided detection
- evolutionary computing
- gaussian processes
- computer aided