reference/21063689

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/21063689

Outgoing Links

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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	850
issn	1387-2877 1875-8908
issueIdentifier	2
pageRange	837-850
publicationName	Journal of Alzheimer's disease : JAD
startingPage	837
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_916de93fe8f49855f42e16db43537393 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a4a4d52950e33267ecdc80a8f3c095ea
isSupportedBy	http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_b29abe85f886f68f5bbad81ccdaf223e
bibliographicCitation	Khajehpiri B, Moghaddam HA, Forouzanfar M, Lashgari R, Ramos-Cejudo J, Osorio RS, Ardekani BA; Alzheimer’s Disease Neuroimaging Initiative. Survival Analysis in Cognitively Normal Subjects and in Patients with Mild Cognitive Impairment Using a Proportional Hazards Model with Extreme Gradient Boosting Regression. J Alzheimers Dis. 2022;85(2):837–50. doi: 10.3233/jad-215266. PMID: 34864679.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_eae80e5a9c3856e905f8285a84e08691 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_510d50ac45728054a4ff80ea41a51525 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6cb4aa6e099f8a1212f83c6ba45f7a7f http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6eae289e6f8ff38965a7c59f2e62ea6d http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-8849-0144 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6f71565f66c5613213814cb70156c7e3 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_580c00f6db48dcb9bab0f73b823bc1f2 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e842d678e33ba6df39e650a3de03d205
date	2022-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/34864679 https://doi.org/10.3233/jad-215266
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Survival Analysis in Cognitively Normal Subjects and in Patients with Mild Cognitive Impairment Using a Proportional Hazards Model with Extreme Gradient Boosting Regression
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Total number of triples: 52.