Multi-disease prediction using LSTM recurrent neural networks

作者：

Highlights：

• We propose a deep learning approach to perform multi-disease prediction.

• The approach uses a long short-term memory network to address temporal challenges.

• The performance of the approach is validated on a real-world healthcare dataset.

• The proposed approach can be used for intelligent clinical decision support.

摘要

•We propose a deep learning approach to perform multi-disease prediction.•The approach uses a long short-term memory network to address temporal challenges.•The performance of the approach is validated on a real-world healthcare dataset.•The proposed approach can be used for intelligent clinical decision support.

论文关键词：Deep learning,Electronic health records,Healthcare informatics,Disease prediction

论文评审过程：Received 26 May 2020, Revised 30 October 2020, Accepted 8 March 2021, Available online 16 March 2021, Version of Record 6 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114905