Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.
Michael S SacksNihat BaysalBruce A BuckinghamGregory P ForlenzaTrang T LyDavid M MaahsTatiana MarcalLindsey TowersEric MauritzenSunil DeshpandeLauren M HuyettJordan E PinskerRavi GondhalekarFrancis J DoyleEyal DassauJuergen HahnB Wayne BequettePublished in: Journal of diabetes science and technology (2018)
As patient burden is reduced by each generation of advanced diabetes technology, fault detection algorithms will help ensure that patients are alerted when they need to manually intervene. Clinical Trial Identifier: www.clinicaltrials.gov,NCT02773875.
Keyphrases
- clinical trial
- end stage renal disease
- ejection fraction
- type diabetes
- machine learning
- loop mediated isothermal amplification
- chronic kidney disease
- cardiovascular disease
- prognostic factors
- low dose
- label free
- real time pcr
- case report
- deep learning
- randomized controlled trial
- metabolic syndrome
- study protocol
- quantum dots
- open label