Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity
| dc.article.end-page | 12 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.1038/S41598-024-60811-2 | en |
| dc.contributor.author | O Kiss | en |
| dc.contributor.author | Fiona Baker | en |
| dc.contributor.author | Robert Palovics | en |
| dc.contributor.author | Erin E Dooley | en |
| dc.contributor.author | K Pettee Gabriel | en |
| dc.contributor.author | J Nagata | en |
| dc.date.accessioned | 2024-10-02T12:01:11Z | |
| dc.date.available | 2024-10-02T12:01:11Z | |
| dc.faculty | FACULTY OF HEALTH SCIENCES | en |
| dc.identifier.citation | WOS | en |
| dc.identifier.issn | 2045-2322 | en |
| dc.identifier.uri | https://hdl.handle.net/10539/41292 | |
| dc.journal.title | Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity | en |
| dc.journal.volume | 14 | en |
| dc.title | Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity | en |
| dc.type | Journal Article | en |
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