http://rdf.ncbi.nlm.nih.gov/pubchem/reference/14213527

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 286
issn 1387-2877
1875-8908
issueIdentifier 1
pageRange 277-286
publicationName Journal of Alzheimer's disease : JAD
startingPage 277
bibliographicCitation Bergeron MF, Landset S, Tarpin-Bernard F, Ashford CB, Khoshgoftaar TM, Ashford JW. Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification. J Alzheimers Dis. 2019;70(1):277–86. PMID: 31177223; PMCID: PMC6700609.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1f50d872988037f4b57312fe7dc904dd
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f00570b1895536988d09c0cb54816d9a
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6168097eb88b042398014993617104df
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_dbc4745578742070493a45aa732ecd25
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bd9a7d3390162e08101b8020d0c1fe62
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_78931f8fcc25b12fccee72a41d725a88
date 2019-07-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/31177223
https://doi.org/10.3233/jad-190165
https://pubmed.ncbi.nlm.nih.gov/PMC6700609
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 Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D061212
http://id.nlm.nih.gov/mesh/D060825Q000175
http://id.nlm.nih.gov/mesh/D003704Q000175
http://id.nlm.nih.gov/mesh/D000375Q000523
http://id.nlm.nih.gov/mesh/D000544Q000175
http://id.nlm.nih.gov/mesh/D003071Q000502
http://id.nlm.nih.gov/mesh/D000069550
hasSubjectTerm http://id.nlm.nih.gov/mesh/D000544Q000523
http://id.nlm.nih.gov/mesh/D008403
http://id.nlm.nih.gov/mesh/D006304
http://id.nlm.nih.gov/mesh/D000328
http://id.nlm.nih.gov/mesh/D016208
http://id.nlm.nih.gov/mesh/D005260
http://id.nlm.nih.gov/mesh/D060825Q000523
http://id.nlm.nih.gov/mesh/D000369
http://id.nlm.nih.gov/mesh/D000368
http://id.nlm.nih.gov/mesh/D008960
http://id.nlm.nih.gov/mesh/D008875
http://id.nlm.nih.gov/mesh/D008297
http://id.nlm.nih.gov/mesh/D009483
http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D003704Q000523
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11385
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID702
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6852

Total number of triples: 51.