Forecasting postbariatric hypoglycaemia in Roux-en-Y gastric bypass patients using model-based algorithms fed by continuous glucose monitoring data: a proof-of-concept study.

Prendin, Francesco; Cappon, Giacomo; Tripyla, Afroditi; Herzig, David; Bally, Lia; Facchinetti, Andrea (2022). Forecasting postbariatric hypoglycaemia in Roux-en-Y gastric bypass patients using model-based algorithms fed by continuous glucose monitoring data: a proof-of-concept study. Diabetes, obesity & metabolism, 24(10), pp. 2061-2065. Wiley 10.1111/dom.14783

[img] Text
Diabetes_Obesity_Metabolism_-_2022_-_Prendin_-_Forecasting_postbariatric_hypoglycaemia_in_Roux_en_Y_gastric_bypass_patients.pdf - Accepted Version
Restricted to registered users only until 2 June 2023.
Available under License Publisher holds Copyright.
Download (1MB) | Request a copy

Item Type:

 Journal Article (Further Contribution)

Division/Institute:

 04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition

UniBE Contributor:

 Tripyla, Afroditi; Herzig, David and Bally, Lia Claudia

Subjects:

 600 Technology > 610 Medicine & health

ISSN:

 1463-1326

Publisher:

 Wiley

Language:

 English

Submitter:

 Pubmed Import

Date Deposited:

 02 Jun 2022 09:31

Last Modified:

 05 Dec 2022 16:20

Publisher DOI:

 10.1111/dom.14783

PubMed ID:

 35642462

BORIS DOI:

 10.48350/170412

URI:

 https://boris.unibe.ch/id/eprint/170412

Actions (login required)

Edit item Edit item
Provide Feedback