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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 159041185 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang%2C+Shu%22">Wang, Shu</searchLink><relatesTo>1</relatesTo>, <i>shu@ini.uzh.ch</i><br /><searchLink fieldCode="AU" term="%22Lafaye%2C+Celine%22">Lafaye, Celine</searchLink><relatesTo>2</relatesTo>, <i>Celine.Lafaye@chuv.ch</i><br /><searchLink fieldCode="AU" term="%22Saubade%2C+Mathieu%22">Saubade, Mathieu</searchLink><relatesTo>2</relatesTo>, <i>mathieu.saubade@chuv.ch</i><br /><searchLink fieldCode="AU" term="%22Besson%2C+Cyril%22">Besson, Cyril</searchLink><relatesTo>2</relatesTo>, <i>cyril.besson@chuv.ch</i><br /><searchLink fieldCode="AU" term="%22Margarit-Taule%2C+Josep+Maria%22">Margarit-Taule, Josep Maria</searchLink><relatesTo>3</relatesTo>, <i>josepmaria.margarit@imb-cnm.csic.es</i><br /><searchLink fieldCode="AU" term="%22Gremeaux%2C+Vincent%22">Gremeaux, Vincent</searchLink><relatesTo>2</relatesTo>, <i>vincent.gremeaux@chuv.ch</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Shih-Chii%22">Liu, Shih-Chii</searchLink><relatesTo>1</relatesTo>, <i>shih@ini.uzh.ch</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Biomedical+%26+Health+Informatics%22">IEEE Journal of Biomedical & Health Informatics</searchLink>; Sep2022, Vol. 26 Issue 9, p4725-4732, 8p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159041185 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JBHI.2022.3186150 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 4725 Titles: – TitleFull: Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Shu – PersonEntity: Name: NameFull: Lafaye, Celine – PersonEntity: Name: NameFull: Saubade, Mathieu – PersonEntity: Name: NameFull: Besson, Cyril – PersonEntity: Name: NameFull: Margarit-Taule, Josep Maria – PersonEntity: Name: NameFull: Gremeaux, Vincent – PersonEntity: Name: NameFull: Liu, Shih-Chii IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 21682194 Numbering: – Type: volume Value: 26 – Type: issue Value: 9 Titles: – TitleFull: IEEE Journal of Biomedical & Health Informatics Type: main |
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