Accurate Prediction of Alzheimer’s Disease Progression Trajectory via a Novel Encoder-Decoder LSTM Architecture-Reference-Cited by-同舟云学术

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Accurate Prediction of Alzheimer’s Disease Progression Trajectory via a Novel Encoder-Decoder LSTM Architecture

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Poonam Km¹,Guha Rajlakshmi²,Chakrabarti Partha P³

Affiliation:

1. IIT Kharagpur,Centre of Excellence in Artificial Intelligence,West Bengal,India

2. IIT Kharagpur,Rekhi Centre of Excellence for the Science of Happiness,West Bengal,India

3. IIT Kharagpur,Department of Computer Science and Engineering,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340517.pdf?arnumber=10340517

Reference16 articles.

1. Identifying and validating biomarkers for Alzheimer's disease

2. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy

3. Everyday cognition: Age and intellectual ability correlates.

4. Alzheimer's disease

5. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Alzheimer's Disease Progression Using a Versatile Sequence-Length-Adaptive Encoder-Decoder LSTM Architecture;IEEE Journal of Biomedical and Health Informatics;2024-07

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