Multi-Task Learning for Alzheimer’s Disease Diagnosis and Mini-Mental State Examination Score Prediction
Accurately diagnosing Alzheimer’s disease is essential for improving elderly health. Meanwhile, accurate prediction of the mini-mental state examination score also can measure cognition impairment and track the progression of Alzheimer’s disease. However, most of the existing methods perform Alzheim...
Saved in:
Main Authors: | Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-09-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tasks and Principles of International Cooperation in the Field of Forensic Examination
by: I. I. Yatsenko
Published: (2020-09-01) -
Diagnosis and Treatment of Alzheimer’s Disease: Current Update
by: Younghee Yim, et al.
Published: (2025-01-01) -
A comparative study of mini-monovision, crossed mini-monovision, and emmetropia with enhanced monofocal intraocular lenses
by: Yoshifumi Fujita, et al.
Published: (2025-01-01) -
Benchmarking Alzheimer’s disease prediction: personalised risk assessment using polygenic risk scores across various methodologies and genome-wide studies
by: Eftychia Bellou, et al.
Published: (2025-01-01) -
Enhancing the utility of polygenic scores in Alzheimer’s disease through systematic curation and annotation
by: Savannah Mwesigwa, et al.
Published: (2025-02-01)