Publication2025
Hybrid GRU-Convolutional Neural Networks for Alzheimer's Progression Prediction from Neuroimaging
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025
- Published
- 1 January 2025
- DOI
- 10.1109/giest66547.2025.11387148
- Scopus ID
- 105035340064
- Authors
- 2
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
GRU-CNN hybrid framework predicts Alzheimer's disease progression stages from neuroimaging with multi-class classification for early intervention.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Deep learning model enables early disease staging and progression tracking for neurodegenerative condition management.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Hybrid GRU-Convolutional Neural Networks for Alzheimer's Progression Prediction from Neuroimaging”. Kortex.