Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study.
- DOI
- 10.2196/20995
- Published
- 2020 Sep 16
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/20995,
title = {Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study.},
author = {Rankin D and Black M and Flanagan B and Hughes CF and Moore A and Hoey L and Wallace J and Gill C and Carlin P and Molloy AM and Cunningham C and McNulty H},
year = {2020},
journal = {JMIR medical informatics},
doi = {10.2196/20995},
url = {https://doi.org/10.2196/20995}
}RIS
TY - JOUR TI - Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study. AU - Rankin D AU - Black M AU - Flanagan B AU - Hughes CF AU - Moore A AU - Hoey L AU - Wallace J AU - Gill C AU - Carlin P AU - Molloy AM AU - Cunningham C AU - McNulty H PY - 2020 JO - JMIR medical informatics DO - 10.2196/20995 UR - https://doi.org/10.2196/20995 ER -
APA
D, R., M, B., B, F., CF, H., A, M., L, H., J, W., C, G., P, C., AM, M., C, C., & H, M. (2020). Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study.. JMIR medical informatics. https://doi.org/10.2196/20995