Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study.
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| Title: | Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. |
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| Authors: | Wang, Shu1, shu@ini.uzh.ch, Lafaye, Celine2, Celine.Lafaye@chuv.ch, Saubade, Mathieu2, mathieu.saubade@chuv.ch, Besson, Cyril2, cyril.besson@chuv.ch, Margarit-Taule, Josep Maria3, josepmaria.margarit@imb-cnm.csic.es, Gremeaux, Vincent2, vincent.gremeaux@chuv.ch, Liu, Shih-Chii1, shih@ini.uzh.ch |
| Source: | IEEE Journal of Biomedical & Health Informatics; Sep2022, Vol. 26 Issue 9, p4725-4732, 8p |
| Database: | Applied Science & Technology Source |
| ISSN: | 21682194 |
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| DOI: | 10.1109/JBHI.2022.3186150 |
