reference/7555814

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/7555814

Outgoing Links

Predicate	Object
contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	1372
issn	1387-2877 1875-8908
issueIdentifier	3
pageRange	1357-1372
publicationName	Journal of Alzheimer's disease : JAD
startingPage	1357
bibliographicCitation	Kwak S, Oh DJ, Jeon YJ, Oh DY, Park SM, Kim H, Lee JY. Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease. J Alzheimers Dis. 2022;85(3):1357–72. PMID: 34924390; PMCID: PMC8925128.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3b1252f27f7364216d5d35a39567fb7d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_cd7cb996fd7f2cf2135638e5296ce653 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_aaf888f7ad70bb289c7bd956f47adf67 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_9323c660b6fa8b2d6a27bc081e0c508a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f840d75cb01572b415e6dad1190c6f7d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d75514dcbd969740387f97ff264bb354 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-6985-2680 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c5764bfb8ef69a7e75a601756367d3f9
date	2022-02-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC8925128 https://pubmed.ncbi.nlm.nih.gov/34924390 https://doi.org/10.3233/jad-215244
isPartOf	https://portal.issn.org/resource/ISSN/1387-2877 https://portal.issn.org/resource/ISSN/1875-8908 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21942
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer’s Disease
hasPrimarySubjectTerm	http://id.nlm.nih.gov/mesh/D000076604 http://id.nlm.nih.gov/mesh/D009483Q000706 http://id.nlm.nih.gov/mesh/D000544Q000523 http://id.nlm.nih.gov/mesh/D060825Q000523 http://id.nlm.nih.gov/mesh/D000069550
hasSubjectTerm	http://id.nlm.nih.gov/mesh/D000368 http://id.nlm.nih.gov/mesh/D000073216Q000706 http://id.nlm.nih.gov/mesh/D006801 http://id.nlm.nih.gov/mesh/D008297 http://id.nlm.nih.gov/mesh/D005260 http://id.nlm.nih.gov/mesh/D000203
discussesAsDerivedByTextMining	http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7404 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7296 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6852 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11385

Total number of triples: 43.