http://rdf.ncbi.nlm.nih.gov/pubchem/reference/29774520

Outgoing Links

Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
endingPage 1261
issn 1387-2877
1875-8908
issueIdentifier 4
pageRange 1253-1261
publicationName Journal of Alzheimer's disease : JAD
startingPage 1253
bibliographicCitation Vecchio F, Miraglia F, Alù F, Menna M, Judica E, Cotelli M, Rossini PM. Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation. J Alzheimers Dis. 2020;75(4):1253–61. doi: 10.3233/jad-200171. PMID: 32417784.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e34877832d0a1e4cb51c6b142f73cf3b
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6afe1836d6d07e449fc40e00710a3904
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c596225eadd5925ea3cac698507458c4
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-3208-3798
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7d024efa836498854c770049fb86122d
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_51ccca8c60af983e1c25887ee787f054
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b9f9227d6ace84eead0facf515a10b9e
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_48fa4ce832e448f247b9523c857a4f16
date 2020-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.3233/jad-200171
https://pubmed.ncbi.nlm.nih.gov/32417784
isPartOf https://portal.issn.org/resource/ISSN/1875-8908
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21942
https://portal.issn.org/resource/ISSN/1387-2877
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title Classification of Alzheimer’s Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation
discusses http://id.nlm.nih.gov/mesh/M0023752
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D000375Q000502
http://id.nlm.nih.gov/mesh/D004569
http://id.nlm.nih.gov/mesh/D001921Q000503
http://id.nlm.nih.gov/mesh/D060388
http://id.nlm.nih.gov/mesh/D000544Q000175
hasSubjectTerm http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D000544Q000503
http://id.nlm.nih.gov/mesh/D009483
http://id.nlm.nih.gov/mesh/D012680
http://id.nlm.nih.gov/mesh/D015415
http://id.nlm.nih.gov/mesh/D058256
http://id.nlm.nih.gov/mesh/D000368
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6852
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID7404

Total number of triples: 42.