Deep learning algorithm reveals two prognostic subtypes in patients with gliomas.
Jing TianMingzhen ZhuZijing RenQiang ZhaoPuqing WangColin K. HeMin ZhangXiaochun PengBeilei WuRujia FengMinglong FuPublished in: BMC Bioinform. (2022)
Keyphrases
- learning algorithm
- breast cancer
- clinical data
- breast cancer patients
- low grade gliomas
- survival data
- cancer patients
- therapy planning
- training data
- high risk
- back propagation
- machine learning algorithms
- machine learning
- neural network
- active learning
- brain tumors
- learning scheme
- medical data
- supervised learning
- training samples
- training examples
- prognostic models
- classification algorithm
- raw data
- training set
- reinforcement learning
- decision trees
- kaplan meier
- patient data
- cancer diagnosis
- learning process
- patient groups