Hybrid deep learning model using recurrent neural network and gated recurrent unit for heart disease prediction
his paper proposes a new hybrid deep learning model for heart disease prediction using recurrent neural network (RNN) with the combination of multiple gated recurrent units (GRU), long short-term memory (LSTM) and Adam optimizer. This proposed model resulted in an outstanding accuracy of 98.6876% wh...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2021
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/95039/1/PritheegaMagalingam2021_HybridDeepLearningModelUsingRecurrent.pdf |