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: | Krishnan, S., Magalingam, P., Ibrahim, R. |
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Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/95039/1/PritheegaMagalingam2021_HybridDeepLearningModelUsingRecurrent.pdf |
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