reference/34603142

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34603142

Outgoing Links

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contentType	Journal Article
endingPage	57810
issn	1614-7499
issueIdentifier	20
pageRange	57801-57810
publicationName	Environmental science and pollution research international
startingPage	57801
bibliographicCitation	Mehrpour O, Nakhaee S, Saeedi F, Valizade B, Lotfi E, Nawaz MH. Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS). Environ Sci Pollut Res Int. 2023 Apr;30(20):57801–10. doi: 10.1007/s11356-023-26605-1. PMID: 36973614.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_5834ed3d8101ba4498de3d5baad7c367 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1f87a3dffe28ef8b566e1c0e14bdf5f2 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_51d4d091045dcb5cf031c81eb571ada7 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6078dad4b5a5b39af5d220d5deb3bd11 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1070-8841 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_109694c075cc874e2730a5fe85cecf8f
date	2023-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1007/s11356-023-26605-1 https://pubmed.ncbi.nlm.nih.gov/36973614
isPartOf	https://portal.issn.org/resource/ISSN/1614-7499 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS)
discusses	http://id.nlm.nih.gov/mesh/M0017100 http://id.nlm.nih.gov/mesh/M0010903 http://id.nlm.nih.gov/mesh/M0002471
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Total number of triples: 29.