Predictive Modeling of Chronic Kidney Disease Progression Using Longitudinal Clinical Data and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Predictive Modeling of Chronic Kidney Disease Progression Using Longitudinal Clinical Data and Deep Learning Techniques

Published:2023-12-27 Issue: Volume:7 Page:1-4
ISSN:
Container-title:2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
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Author:

Rastegari Farzaneh¹,Odeh Mahmoud²,Baroughi Reyhaneh Mehdizadeh³,Bustan Arad⁴

Affiliation:

1. University of Connecticut,Computer Science and Engineering Department,Storrs,United States

2. School of information technology, Zarqa University,Cyber security Department,Zarqa,Jordan

3. Electrical and Computer Engineering Polytechnic University of Turin,Turin,Italy

4. Graduate School of Biomedical Science and Engineering(GSBSE) University of Maine,Orono,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590587.pdf?arnumber=10590587

Reference15 articles.

1. Chronic kidney disease

2. Predicting the total Unified Parkinson’s Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update

3. Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes

4. Deep learning algorithms with applications to video analytics for a smart city: A survey;Wang;arXiv preprint,2015

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