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Object |
contentType |
Journal Article|Research Support, Non-U.S. Gov't |
endingPage |
1536 |
issn |
8750-7587 1522-1601 |
issueIdentifier |
6 |
pageRange |
1530-1536 |
publicationName |
Journal of applied physiology (Bethesda, Md. : 1985) |
startingPage |
1530 |
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bibliographicCitation |
Hedge ET, Amelard R, Hughson RL. Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis. J Appl Physiol (1985). 2023 Jun 01;134(6):1530–6. doi: 10.1152/japplphysiol.00148.2023. PMID: 37199779. |
creator |
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date |
2023-06-01^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1152/japplphysiol.00148.2023 https://pubmed.ncbi.nlm.nih.gov/37199779 |
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https://portal.issn.org/resource/ISSN/8750-7587 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/4508 https://portal.issn.org/resource/ISSN/1522-1601 |
language |
English |
source |
https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/ |
title |
Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis |
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http://id.nlm.nih.gov/mesh/M0015671 |
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