Prediction of Stroke Risk with LSTM Networks and Patient Health Records-Reference-Cited by-同舟云学术

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Prediction of Stroke Risk with LSTM Networks and Patient Health Records

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:

Kshatri Madhavi¹,Lukose Wilson²,Parida Prasanta Kumar³,Khan Jalaluddin⁴

Affiliation:

1. Raipur Institute of Technology,Department of CSE,Raipur

2. Professor & Principal, Bharati Vidyapeeth Institute Of Hotel Management and Catering Technology, Bharati Vidyapeeth (Deemed to be University) Off Campus,Navi Mumbai

3. KIIT University

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Guntur,India,522502

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489150.pdf?arnumber=10489150

Reference30 articles.

1. Predicting post-stroke pneumonia using deep neural network approaches

2. Multi-disease prediction using LSTM recurrent neural networks

3. A Predictive Analysis of Electronic Healthcare Records for Stroke Symptoms;Chantamit-o-pas;Doctoral dissertation,2019

4. A comprehensive evaluation for the prediction of mortality in intensive care units with LSTM networks: patients with cardiovascular disease

5. 2019 LSTM network for prediction of hemorrhagic transformation in acute stroke;Yu,13-17, 2019

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