Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions.
- DOI
- 10.1038/s41598-019-47311-4
- Published
- 2019 Jul 29
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-019-47311-4,
title = {Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions.},
author = {Stone JE and Phillips AJK and Ftouni S and Magee M and Howard M and Lockley SW and Sletten TL and Anderson C and Rajaratnam SMW and Postnova S},
year = {2019},
journal = {Scientific reports},
doi = {10.1038/s41598-019-47311-4},
url = {https://doi.org/10.1038/s41598-019-47311-4}
}RIS
TY - JOUR TI - Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions. AU - Stone JE AU - Phillips AJK AU - Ftouni S AU - Magee M AU - Howard M AU - Lockley SW AU - Sletten TL AU - Anderson C AU - Rajaratnam SMW AU - Postnova S PY - 2019 JO - Scientific reports DO - 10.1038/s41598-019-47311-4 UR - https://doi.org/10.1038/s41598-019-47311-4 ER -
APA
JE, S., AJK, P., S, F., M, M., M, H., SW, L., TL, S., C, A., SMW, R., & S, P. (2019). Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions.. Scientific reports. https://doi.org/10.1038/s41598-019-47311-4
Source records
- pubmed · retrieved 2026-09-25T23:54:13.858Z