Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks.
Avelino JaverOwen ParsonsOliver CarrJanie BaxterChristian DiedrichEren ElçiSteffen SchaperKatrin CoboekenRobert DürichenPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- neural network
- recurrent networks
- feed forward
- reservoir computing
- complex valued
- hidden layer
- cascade correlation
- patient data
- semi supervised
- artificial neural networks
- multi agent
- neural model
- feedforward neural networks
- trajectory data
- unsupervised learning
- clinical trials
- medical data
- clinical data
- long short term memory
- unsupervised manner
- hebbian learning
- echo state networks
- nonlinear dynamic systems
- real time
- reinforcement learning
- decision making
- artificial intelligence