Hybrid deep learning model using recurrent neural network and gated recurrent unit for heart disease prediction

• Main Authors: Krishnan, S., Magalingam, P., Ibrahim, R.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2021
• Subjects: T Technology (General)
• 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

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...