UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction.
Qingxiong TanAndy Jinhua MaMang YeBaoyao YangHuiqi DengVincent Wai-Sun WongYee-Kit TseTerry Cheuk-Fung YipGrace Lai-Hung WongJessica Yuet-Ling ChingFrancis Ka-Leung ChanPong C. YuenPublished in: CIKM (2019)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- risk factors
- risk averse
- risk measures
- feed forward
- prediction accuracy
- complex valued
- hidden layer
- recurrent networks
- neural model
- feedforward neural networks
- echo state networks
- reservoir computing
- prediction model
- long short term memory
- risk management
- early detection
- high risk
- artificial neural networks
- expected utility
- nonlinear dynamic systems
- deep learning
- network architecture
- prediction error
- genetic algorithm
- risk assessment
- prognostic models
- probabilistic model
- artificial intelligence