Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.

Jo T, Kim J, Bice P, Huynh K, Wang T, Arnold M, Meikle PJ, Giles C, Kaddurah-Daouk R, Saykin AJ, Nho K, Alzheimer's Disease Metabolomics Consortium (ADMC), Alzheimer's Disease Neuroimaging Initiative (ADNI)

Open source

DOI
10.1016/j.ebiom.2023.104820
Published
2023 Nov
Container
EBioMedicine
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ebiom.2023.104820,
  title = {Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.},
  author = {Jo T and Kim J and Bice P and Huynh K and Wang T and Arnold M and Meikle PJ and Giles C and Kaddurah-Daouk R and Saykin AJ and Nho K and Alzheimer's Disease Metabolomics Consortium (ADMC) and Alzheimer's Disease Neuroimaging Initiative (ADNI)},
  year = {2023},
  journal = {EBioMedicine},
  doi = {10.1016/j.ebiom.2023.104820},
  url = {https://doi.org/10.1016/j.ebiom.2023.104820}
}

RIS

TY  - JOUR
TI  - Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.
AU  - Jo T
AU  - Kim J
AU  - Bice P
AU  - Huynh K
AU  - Wang T
AU  - Arnold M
AU  - Meikle PJ
AU  - Giles C
AU  - Kaddurah-Daouk R
AU  - Saykin AJ
AU  - Nho K
AU  - Alzheimer's Disease Metabolomics Consortium (ADMC)
AU  - Alzheimer's Disease Neuroimaging Initiative (ADNI)
PY  - 2023
JO  - EBioMedicine
DO  - 10.1016/j.ebiom.2023.104820
UR  - https://doi.org/10.1016/j.ebiom.2023.104820
ER  - 

APA

T, J., J, K., P, B., K, H., T, W., M, A., PJ, M., C, G., R, K., AJ, S., K, N., (ADMC), A. D. M. C., & (ADNI), A. D. N. I. (2023). Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.. EBioMedicine. https://doi.org/10.1016/j.ebiom.2023.104820

Source records