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Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
Lama RK, Gwak J, Park JS, Lee SW.. Journal of healthcare engineering, 2017-06-18
Topic: Amyloid, tau and blood-test diagnosis
Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that attacks neurotransmitters, brain cells, and nerves, affecting brain functions, memory, and behaviors and then finally causing dementia on elderly people. Despite its significance, there is currently no cure for it. However, there are medicines available on prescription that can help delay the progress of the condition.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Lama, R. K., Gwak, J., Park, J. S., & Lee, S. W. (2017). Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features. Journal of healthcare engineering. https://doi.org/10.1155/2017/5485080
Vancouver
Lama RK, Gwak J, Park JS, Lee SW. Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features. Journal of healthcare engineering. 2017. doi:10.1155/2017/5485080. PMID: 29065619.
BibTeX
@article{lama2017-29065619,
author = {Lama, R. K. and Gwak, J. and Park, J. S. and Lee, S. W.},
title = {{Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features}},
journal = {Journal of healthcare engineering},
year = {2017},
doi = {10.1155/2017/5485080},
pmid = {29065619},
url = {https://doi.org/10.1155/2017/5485080}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Despite its significance, there is currently no cure for it.
- However, there are medicines available on prescription that can help delay the progress of the condition.
- Thus, early diagnosis of AD is essential for patient care and relevant researches.
- Major challenges in proper diagnosis of AD using existing classification schemes are the availability of a smaller number of training samples and the larger number of possible feature representations.
Why it matters
This study developed a machine learning method to diagnose Alzheimer's disease from structural MRI images. It is about improving diagnosis, not about treating, curing, or preventing the disease.
Study details
- Evidence strengthLow
How this study scored 43/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of healthcare engineering) |
| Journal's citation record | 1 / 4 | Journal of Healthcare Engineering: journal h-index 91 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 137 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 12.5 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 4 / 6 | Cited 10.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 4 other studies in this library |
| Still being cited | 2 / 4 | Cited 21 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Sang‐Woong Lee: h-index 13 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Chonnam National University: institution h-index 438 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 29065619) |
| Free to read | 2 / 2 | Free to read |
| Total | 43 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1155/2017/5485080
- PubMed: 29065619
- Original source →
- Free full text: Journal of Healthcare Engineering →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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