reference/35506080

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35506080

Outgoing Links

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endingPage	117
issn	1941-1189 1937-3333
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publicationName	IEEE Reviews in Biomedical Engineering
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bibliographicCitation	Lu HY, Ding X, Hirst JE, Yang Y, Yang J, Mackillop L, Clifton DA. Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes. IEEE Rev Biomed Eng. 2024;17():98–117. PMID: 37022834; PMCID: PMC7615520.
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date	2023
identifier	https://doi.org/10.1109/rbme.2023.3242261 https://pubmed.ncbi.nlm.nih.gov/PMC7615520 https://pubmed.ncbi.nlm.nih.gov/37022834
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes
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Total number of triples: 51.