Population modeling with machine learning can enhance measures of mental health - Open-data replication
- DOI
- 10.1016/j.ynirp.2023.100163
- Published
- 2023-06
- Container
- Neuroimage: Reports
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.ynirp.2023.100163,
title = {Population modeling with machine learning can enhance measures of mental health - Open-data replication},
author = {Ty Easley and Ruiqi Chen and Kayla Hannon and Rosie Dutt and Janine Bijsterbosch},
year = {2023},
journal = {Neuroimage: Reports},
doi = {10.1016/j.ynirp.2023.100163},
url = {https://doi.org/10.1016/j.ynirp.2023.100163}
}RIS
TY - JOUR TI - Population modeling with machine learning can enhance measures of mental health - Open-data replication AU - Ty Easley AU - Ruiqi Chen AU - Kayla Hannon AU - Rosie Dutt AU - Janine Bijsterbosch PY - 2023 JO - Neuroimage: Reports DO - 10.1016/j.ynirp.2023.100163 UR - https://doi.org/10.1016/j.ynirp.2023.100163 ER -
APA
Easley, T., Chen, R., Hannon, K., Dutt, R., & Bijsterbosch, J. (2023). Population modeling with machine learning can enhance measures of mental health - Open-data replication. Neuroimage: Reports. https://doi.org/10.1016/j.ynirp.2023.100163
Source records
- crossref · retrieved 2026-09-25T20:03:50.087Z