Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.

Kiss O, Baker FC, Palovics R, Dooley EE, Pettee Gabriel K, Nagata JM

DOI: 10.1038/s41598-024-60811-2
Published: 2024 May 31
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-60811-2,
  title = {Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.},
  author = {Kiss O and Baker FC and Palovics R and Dooley EE and Pettee Gabriel K and Nagata JM},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-60811-2},
  url = {https://doi.org/10.1038/s41598-024-60811-2}
}

RIS

TY  - JOUR
TI  - Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.
AU  - Kiss O
AU  - Baker FC
AU  - Palovics R
AU  - Dooley EE
AU  - Pettee Gabriel K
AU  - Nagata JM
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-60811-2
UR  - https://doi.org/10.1038/s41598-024-60811-2
ER  -

APA

O, K., FC, B., R, P., EE, D., K, P. G., & JM, N. (2024). Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.. Scientific reports. https://doi.org/10.1038/s41598-024-60811-2

Source records

pubmed · retrieved 2026-09-25T12:08:59.509Z