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...

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Bibliographic Details
Main Authors: Krishnan, S., Magalingam, P., Ibrahim, R.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/95039/1/PritheegaMagalingam2021_HybridDeepLearningModelUsingRecurrent.pdf
http://eprints.utm.my/id/eprint/95039/
http://dx.doi.org/10.11591/ijece.v11i6.pp5467-5476
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