HSGA: A Hybrid LSTM-CNN Self-Guided Attention to Predict the Future Diagnosis From Discharge Narratives.
Gaspard HarerimanaGun Il KimJong Wook KimBeakcheol JangPublished in: IEEE Access (2023)
Keyphrases
- predicting future
- fault diagnosis
- recurrent neural networks
- artificial intelligent systems
- databases
- medical diagnosis
- expert systems
- case study
- model based diagnosis
- fault detection
- hybrid learning
- hybrid approaches
- real world
- mobile robot
- object detection
- mutual information
- long term
- computer aided
- cellular neural networks
- causal reasoning
- medical diagnostic
- feature selection