reference/35043879

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35043879

Outgoing Links

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publicationName	Sleep
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bibliographicCitation	Chen S, Redline S, Eden UT, Prerau MJ. Dynamic models of obstructive sleep apnea provide robust prediction of respiratory event timing and a statistical framework for phenotype exploration. Sleep. 2022 Dec 12;45(12). PMID: 35932480; PMCID: PMC9742895.
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date	2022-08-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/35932480 https://doi.org/10.1093/sleep/zsac189 https://pubmed.ncbi.nlm.nih.gov/PMC9742895
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Dynamic models of obstructive sleep apnea provide robust prediction of respiratory event timing and a statistical framework for phenotype exploration
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discussesAsDerivedByTextMining	http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6942 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID9249 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID10463

Total number of triples: 58.