Prediction of radioprotectors targeting p53 for suppression of acute effect of cancer radiotherapy using machine learning.
Atsushi MatsumotoTadasuke ItoYurie NishiTatsuro TeraokaShin AokiHayato OhwadaPublished in: BIBM (2015)
Keyphrases
- machine learning
- lung cancer
- prostate cancer
- early detection
- prediction accuracy
- cancer patients
- machine learning methods
- breast cancer
- pattern recognition
- data mining
- prediction model
- knowledge discovery
- machine learning approaches
- computational biology
- model selection
- prediction error
- image guided
- predictive modeling
- learning algorithm
- cancer treatment
- cancer diagnosis
- learning systems
- knowledge acquisition
- knowledge representation
- data analysis
- learning tasks
- machine learning algorithms
- medical images
- computational intelligence
- computer science
- reinforcement learning
- decision trees
- lymph nodes
- radiation therapy
- feature selection
- artificial intelligence