http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35556871

Outgoing Links

Predicate 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
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a4a4d52950e33267ecdc80a8f3c095ea
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_51987810ea5ca71625547a9a027c4862
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_e6b4f174aec1030917bd90955a173d9e
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 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-3191-3470
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-6915-2959
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-9507-4533
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
isPartOf 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
discusses http://id.nlm.nih.gov/mesh/M0015671
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D010101Q000502
http://id.nlm.nih.gov/mesh/D001185
hasSubjectTerm http://id.nlm.nih.gov/mesh/D007700
http://id.nlm.nih.gov/mesh/D005080
http://id.nlm.nih.gov/mesh/D010100
http://id.nlm.nih.gov/mesh/D000328
http://id.nlm.nih.gov/mesh/D005260
http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D015444Q000502
http://id.nlm.nih.gov/mesh/D000069550
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID977
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/MD5_abcabc89cb11535fad690d78e746b73e

Showing number of triples: 1 to 38 of 38.