Zobrazeno 1 - 7
of 7
pro vyhledávání: '"George E Saulnier"'
Publikováno v:
Future Science OA, Vol 6, Iss 10 (2020)
Aim: Evaluate forecasting models applied to smaller geographic locations within the hospital. Materials & methods: Damped trend models were applied to blood glucose measurements of progressively smaller inpatient geographic subpopulations. Mean absol
Externí odkaz:
https://doaj.org/article/1be131fb3a654a0aad96b4341abce745
Publikováno v:
Future Science OA, Vol 5, Iss 5 (2019)
Aim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. Materials & methods: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care b
Externí odkaz:
https://doaj.org/article/57d3e378b70e483eba93706948a2bd59
Publikováno v:
J Diabetes Sci Technol
Background: The use of inpatient location for the depiction of glycemic control is an alternative approach to the traditional analysis of hospital-derived glucometric data. Our aim was to develop a method of spatial representation and to test for cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d0813030a44acd2782ce7cf6aa5d76
https://europepmc.org/articles/PMC9631523/
https://europepmc.org/articles/PMC9631523/
Publikováno v:
Future Science OA
Aim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. Materials & methods: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54160be0347eff6afd096da9a04cf087
http://europepmc.org/articles/PMC6554693
http://europepmc.org/articles/PMC6554693
Publikováno v:
Future Science OA
Aim: Apply methods of damped trend analysis to forecast inpatient glycemic control. Method: Observed and calculated point-of-care blood glucose data trends were determined over 62 weeks. Mean absolute percent error was used to calculate differences b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e1f442d5ccbb3b1c668727b0c9ae35f
https://pubmed.ncbi.nlm.nih.gov/29134125
https://pubmed.ncbi.nlm.nih.gov/29134125
Background: Glucose control can be problematic in critically ill patients. We evaluated the impact of statistical transformation on interpretation of intensive care unit inpatient glucose control data. Methods: Point-of-care blood glucose (POC-BG) da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830e306905d55f8ad120f6c9b9a14e68
https://europepmc.org/articles/PMC4455452/
https://europepmc.org/articles/PMC4455452/
Publikováno v:
Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists. 20(3)
Objective To introduce a statistical method of assessing hospital-based non–intensive care unit (non-ICU) inpatient glucose control. Methods Point-of-care blood glucose (POC-BG) data from hospital non-ICUs were extracted for January 1 through Decem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b964688a792fadfb1642df703a5ded8b
https://pubmed.ncbi.nlm.nih.gov/24013995
https://pubmed.ncbi.nlm.nih.gov/24013995