reference/34978028

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34978028

Outgoing Links

Predicate	Object
contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	886
issn	1387-2877 1875-8908
issueIdentifier	3
pageRange	875-886
publicationName	Journal of Alzheimer's disease : JAD
startingPage	875
bibliographicCitation	Chu CS, Wang DY, Liang CK, Chou MY, Hsu YH, Wang YC, Liao MC, Chu WT, Lin YT. Automated Video Analysis of Audio-Visual Approaches to Predict and Detect Mild Cognitive Impairment and Dementia in Older Adults. J Alzheimers Dis. 2023;92(3):875–86. doi: 10.3233/jad-220999. PMID: 36847001.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c941923f4bb3074d97885a7cbf3f0ae2 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a07bee39fe3d4bafa5b9eb5e4e2510ae http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f693c544fa0579195530329f99364c6b http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-5722-7239 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0b6359da9b47d8cff630f441dc38e850 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1c97c2b0ad2a17ad1f9525968782755a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e1270f4e0c4fde4d57203d55bc9b876a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_5719f13cbcc121c43423dfc8db7b8840 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a76db390ba8fe3b881aad3caa24f0d3a
date	2023-04-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.3233/jad-220999 https://pubmed.ncbi.nlm.nih.gov/36847001
isPartOf	https://portal.issn.org/resource/ISSN/1387-2877 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21942 https://portal.issn.org/resource/ISSN/1875-8908
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Automated Video Analysis of Audio-Visual Approaches to Predict and Detect Mild Cognitive Impairment and Dementia in Older Adults
hasPrimarySubjectTerm	http://id.nlm.nih.gov/mesh/D060825Q000175 http://id.nlm.nih.gov/mesh/D003704Q000175 http://id.nlm.nih.gov/mesh/D060825Q000523 http://id.nlm.nih.gov/mesh/D003704Q000523
hasSubjectTerm	http://id.nlm.nih.gov/mesh/D005260 http://id.nlm.nih.gov/mesh/D006801 http://id.nlm.nih.gov/mesh/D003071 http://id.nlm.nih.gov/mesh/D009483 http://id.nlm.nih.gov/mesh/D001185 http://id.nlm.nih.gov/mesh/D000368
discussesAsDerivedByTextMining	http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7428 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7404 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6923 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11385

Total number of triples: 42.