Sequential Data Analysis in Healthcare: Predicting Disease Progression with Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

Sequential Data Analysis in Healthcare: Predicting Disease Progression with Long Short-Term Memory Networks

Published:2023-12-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Dixit Krishna Kant¹,Aswal Upendra Singh²,Muthuvel Suresh Kumar³,Chari S Lakshmana⁴,Sararswat Manish⁵,Srivastava Amit⁶

Affiliation:

1. GLA University,Department of Electrical Engineering,Mathura

2. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand

3. Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Chennai

4. Institute of Aeronautical Engineering,Department of Computer Science and Engineering,Hyderabad,Telangana

5. Lloyd Institute of Engineering and Technology,Greater Noida

6. Lloyd Law College,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489105.pdf?arnumber=10489105

Reference30 articles.

1. Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

2. Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

3. Multi-disease prediction using LSTM recurrent neural networks

4. A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings

5. A Long Short-Term Memory Ensemble Approach for Improving the Outcome Prediction in Intensive Care Unit