Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder.
Yinchong YangPeter A. FaschingVolker TrespPublished in: ICHI (2017)
Keyphrases
- breast cancer
- recurrent neural networks
- survival analysis
- predictive modeling
- cancer treatment
- diagnosis of breast cancer
- disease progression
- feed forward
- neural network
- breast cancer diagnosis
- logistic regression
- computer aided diagnosis
- mammogram images
- bit rate
- text classification
- decision making
- artificial neural networks
- decision makers
- motion estimation
- statistical modeling
- breast cancer patients
- data mining methods
- high dimensional
- data analysis
- naive bayes
- classification accuracy
- cancer patients
- loss function
- image quality