A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results

Camilla Heisel Nyholm Thomsen; Thomas Kronborg; Stine Hangaard; Peter Vestergaard; Ole Hejlesen; Morten Hasselstrøm Jensen

A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results

Camilla Heisel Nyholm Thomsen, Thomas Kronborg, Stine Hangaard, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen

Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › peer review

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Originalsprog	Engelsk
Artikelnummer	152
Tidsskrift	Diabetologia
Vol/bind	66
Udgave nummer	Suppl. 1
Sider (fra-til)	S81
ISSN	0012-186X
Status	Udgivet - nov. 2023
Begivenhed	European Association for the Study of Diabetes (EASD) 59th Annual Meeting - Hamborg, Tyskland Varighed: 2 okt. 2023 → 6 okt. 2023 https://www.easd.org/annual-meeting/easd-2023.html

Konference

Konference	European Association for the Study of Diabetes (EASD) 59th Annual Meeting
Land/Område	Tyskland
By	Hamborg
Periode	02/10/2023 → 06/10/2023
Internetadresse	https://www.easd.org/annual-meeting/easd-2023.html

Adgang til dokumentet

EASD_abstract_draft5Accepteret manuskript, 217 KB

https://doi.org/10.1007/s00125-023-05969-6

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

ADAPT-T2D: Adherence through cloud-based Personalised Treatment for Type 2 Diabetes
Jensen, M. H. (Projektleder), Stoustrup, J. (PI (principal investigator)), Hangaard, S. (Projektdeltager), Larsen, T. K. (Projektdeltager), Thomsen, C. H. N. (Projektdeltager), Leth, J.-J. (Projektdeltager) & Ahdab, M. A. (Projektdeltager)
01/12/2019 → 30/10/2025
Projekter: Projekt › Forskning

Forskere udvikler nyt værktøj: Skal hjælpe med at finde den rigtige insulindosis
Thomsen, C. H. N.
05/10/2023
1 element af Mediedækning
Presse/medie

Citationsformater

@article{c077bd03fa6545df96d02be67a6b0b9c,

title = "A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results ",

keywords = "Type 2 Diabetes, Prediction algorithms, Machine Learning, basal insulin titration, dose guidance",

author = "Thomsen, \{Camilla Heisel Nyholm\} and Thomas Kronborg and Stine Hangaard and Peter Vestergaard and Ole Hejlesen and Jensen, \{Morten Hasselstr{\o}m\}",

year = "2023",

month = nov,

language = "English",

volume = "66",

pages = "S81",

journal = "Diabetologia",

issn = "0012-186X",

publisher = "Springer",

number = "Suppl. 1",

note = "European Association for the Study of Diabetes (EASD) 59th Annual Meeting ; Conference date: 02-10-2023 Through 06-10-2023",

url = "https://www.easd.org/annual-meeting/easd-2023.html",

}

TY - ABST

T1 - A machine learning model for basal insulin titration of people with type 2 diabetes

T2 - European Association for the Study of Diabetes (EASD) 59th Annual Meeting

AU - Thomsen, Camilla Heisel Nyholm

AU - Kronborg, Thomas

AU - Hangaard, Stine

AU - Vestergaard, Peter

AU - Hejlesen, Ole

AU - Jensen, Morten Hasselstrøm

PY - 2023/11

Y1 - 2023/11

KW - Type 2 Diabetes

KW - Prediction algorithms

KW - Machine Learning

KW - basal insulin titration

KW - dose guidance

M3 - Conference abstract in journal

SN - 0012-186X

VL - 66

SP - S81

JO - Diabetologia

JF - Diabetologia

IS - Suppl. 1

M1 - 152

Y2 - 2 October 2023 through 6 October 2023

ER -

A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results

Konference

Adgang til dokumentet

AUB Link

Projekter

ADAPT-T2D: Adherence through cloud-based Personalised Treatment for Type 2 Diabetes

Presse/Medier

Forskere udvikler nyt værktøj: Skal hjælpe med at finde den rigtige insulindosis

Citationsformater