reference/598613

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/598613

Outgoing Links

Predicate	Object
contentType	Journal Article\|Research Support, N.I.H., Extramural\|Research Support, Non-U.S. Gov't\|Research Support, U.S. Gov't, Non-P.H.S.
endingPage	1219
issn	1875-8908 1387-2877
issueIdentifier	3
pageRange	1211-1219
publicationName	Journal of Alzheimer's disease : JAD
startingPage	1211
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_916de93fe8f49855f42e16db43537393
isSupportedBy	http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_1d2b70e59c8346971f07375ca0b5ec1a http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_0a8f80716362e2b70ca0b93b0a5be930 http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_5e4c61b9026cc49b80b87648930c37bd http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_b4db157638b2adf50c5af1d71f443ef2 http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_b29abe85f886f68f5bbad81ccdaf223e http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_bc068dc877962d0cfc0b852dbbcda050
bibliographicCitation	Ezzati A, Harvey DJ, Habeck C, Golzar A, Qureshi IA, Zammit AR, Hyun J, Truelove-Hill M, Hall CB, Davatzikos C, Lipton RB; Alzheimer’s Disease Neuroimaging Initiative. Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques. J Alzheimers Dis. 2020;73(3):1211–9. PMID: 31884486; PMCID: PMC7376527.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1168-065X http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_78b958efb843e3437ce012970c436c5d http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_466f5e69ceebaff06552f0e3dee6fbe1 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1aec2ea7fc2ab25f19db7e7c02a39876 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_99c35a60cfff15347a09c1a3f3b61a71 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c8275e05186fdfa69e13bce87b265e28 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a20a9fbdfe7dd98184b160e65ba7e91f http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_095100265e03068c5053e9dd7c8e7291 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bcaf9061b944fa8ee48f49721576670b http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bf8dce9e078228d6dd3b1c1de3fd5fdd http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_faa7819b594c0fc051231d60d066a9b8 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_73367e65f42d892d362e1ab6164a976d
date	2020-02-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/31884486 https://doi.org/10.3233/jad-191038 https://pubmed.ncbi.nlm.nih.gov/PMC7376527
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://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques
discusses	http://id.nlm.nih.gov/mesh/M0024786 http://id.nlm.nih.gov/mesh/M0023752 http://id.nlm.nih.gov/mesh/M0108562
hasPrimarySubjectTerm	http://id.nlm.nih.gov/mesh/D001921Q000378 http://id.nlm.nih.gov/mesh/D060825Q000378 http://id.nlm.nih.gov/mesh/D016229Q000378 http://id.nlm.nih.gov/mesh/D000069550
hasSubjectTerm	http://id.nlm.nih.gov/mesh/D000368 http://id.nlm.nih.gov/mesh/D000483 http://id.nlm.nih.gov/mesh/D008297 http://id.nlm.nih.gov/mesh/D053327Q000235 http://id.nlm.nih.gov/mesh/D009483 http://id.nlm.nih.gov/mesh/D049268 http://id.nlm.nih.gov/mesh/D005260 http://id.nlm.nih.gov/mesh/D060825Q000523 http://id.nlm.nih.gov/mesh/D059906 http://id.nlm.nih.gov/mesh/D015415Q000134 http://id.nlm.nih.gov/mesh/D006801 http://id.nlm.nih.gov/mesh/D008279 http://id.nlm.nih.gov/mesh/D005787 http://id.nlm.nih.gov/mesh/D060825Q000235 http://id.nlm.nih.gov/mesh/D016229Q000134 http://id.nlm.nih.gov/mesh/D008875 http://id.nlm.nih.gov/mesh/D001921Q000000981 http://id.nlm.nih.gov/mesh/D060825Q000000981 http://id.nlm.nih.gov/mesh/D015415Q000378
discussesAsDerivedByTextMining	http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11385 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6860 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6852

Total number of triples: 69.