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Object |
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Journal Article|Research Support, Non-U.S. Gov't |
| endingPage |
663 |
| issn |
1387-2877
1875-8908 |
| issueIdentifier |
2 |
| pageRange |
647-663 |
| publicationName |
Journal of Alzheimer's disease : JAD |
| startingPage |
647 |
| bibliographicCitation |
Yang D, Hong KS. Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach. J Alzheimers Dis. 2021;80(2):647–63. doi: 10.3233/jad-201163. PMID: 33579839. |
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| date |
2021-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://doi.org/10.3233/jad-201163
https://pubmed.ncbi.nlm.nih.gov/33579839 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21942
https://portal.issn.org/resource/ISSN/1875-8908
https://portal.issn.org/resource/ISSN/1387-2877 |
| language |
English |
| source |
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/ |
| title |
Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach |
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