reference/35707231

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35707231

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
issn	0933-3657
pageRange	102552-
publicationName	Artificial Intelligence in Medicine
startingPage	102552
bibliographicCitation	Yang L, Huang X, Wang J, Yang X, Ding L, Li Z, Li J. Identifying stroke-related quantified evidence from electronic health records in real-world studies. Artificial Intelligence in Medicine. 2023 Jun;140():102552. doi: 10.1016/j.artmed.2023.102552.
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date	202306
identifier	https://pubmed.ncbi.nlm.nih.gov/37210153 https://doi.org/10.1016/j.artmed.2023.102552
isPartOf	https://portal.issn.org/resource/ISSN/0933-3657 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/2503
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Identifying stroke-related quantified evidence from electronic health records in real-world studies
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Total number of triples: 34.