http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36418814

Outgoing Links

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contentType Journal Article
issn 1572-1000
pageRange 103736-
publicationName Photodiagnosis and Photodynamic Therapy
startingPage 103736
bibliographicCitation Hou X, Tian C, Liu W, Li Y, Li W, Wang Z. Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis. Photodiagnosis Photodyn Ther. 2023 Dec;44():103736. doi: 10.1016/j.pdpdt.2023.103736. PMID: 37597684.
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date 202312
identifier https://pubmed.ncbi.nlm.nih.gov/37597684
https://doi.org/10.1016/j.pdpdt.2023.103736
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/33864
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis
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Total number of triples: 28.