Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment
- DOI
- 10.3389/fnagi.2022.898940
- Published
- 2022-08-05
- Container
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fnagi.2022.898940,
title = {Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment},
author = {Min Young Chun and Chae Jung Park and Jonghyuk Kim and Jee Hyang Jeong and Hyemin Jang and Kyunga Kim and Sang Won Seo},
year = {2022},
journal = {Frontiers in Aging Neuroscience},
doi = {10.3389/fnagi.2022.898940},
url = {https://doi.org/10.3389/fnagi.2022.898940}
}RIS
TY - JOUR TI - Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment AU - Min Young Chun AU - Chae Jung Park AU - Jonghyuk Kim AU - Jee Hyang Jeong AU - Hyemin Jang AU - Kyunga Kim AU - Sang Won Seo PY - 2022 JO - Frontiers in Aging Neuroscience DO - 10.3389/fnagi.2022.898940 UR - https://doi.org/10.3389/fnagi.2022.898940 ER -
APA
Chun, M. Y., Park, C. J., Kim, J., Jeong, J. H., Jang, H., Kim, K., & Seo, S. W. (2022). Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment. Frontiers in Aging Neuroscience. https://doi.org/10.3389/fnagi.2022.898940
Source records
- crossref · retrieved 2026-09-25T11:44:48.926Z