Examination of the relationship between D-amino acid profiles and cognitive function in individuals with mild cognitive impairment: a machine learning approach
Combining D-amino acid profiles with noninvasive subject information using nonlinear ML models, particularly kernel SVM and ANN, shows promise as a high-precision screening tool for MCI. This approach could serve as a cost-effective preliminary screening method before more invasive and expensive diagnostic tests and significantly contribute to the early detection and development of intervention strategies for dementia.
Authors
- Masanobu Hibi (ORCID: https://orcid.org/0000-0001-6791-3662)
- Ren Kimura (ORCID: https://orcid.org/0000-0003-3320-1864)
- Koichi Misawa (ORCID: https://orcid.org/0000-0002-0317-0609)
- Shigeki Tsuchiya (ORCID: https://orcid.org/0000-0002-7481-0941)
- Shun Katada (ORCID: https://orcid.org/0000-0003-3241-4470)
- Hisashi Tsujimura (ORCID: https://orcid.org/0009-0005-4071-0343)
- Sou Sugiki
Institutions
- Kao Corporation (Japan) (JP)
Publication Details
- Journal
- The International Journal of Neuropsychopharmacology
- Published
- 2025-03-15
- DOI
- https://doi.org/10.1093/ijnp/pyaf016
- Primary Topic
- Amino Acid Enzymes and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00