Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring

Simon Lebech Cichosz; Morten Hasselstrøm Jensen; Søren Schou Olesen

Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring

Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Søren Schou Olesen

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Originalsprog	Engelsk
Tidsskrift	Diabetes Technology & Therapeutics
ISSN	1520-9156
Status	Accepteret/In press - 5 jan. 2024

Citationsformater

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title = "Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring",

author = "Cichosz, {Simon Lebech} and Jensen, {Morten Hasselstr{\o}m} and Olesen, {S{\o}ren Schou}",

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day = "5",

language = "English",

journal = "Diabetes Technology & Therapeutics",

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Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring. / Cichosz, Simon Lebech ; Jensen, Morten Hasselstrøm ; Olesen, Søren Schou.
I: Diabetes Technology & Therapeutics, 05.01.2024.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

TY - JOUR

T1 - Development and Validation of a Machine Learning Model to Predict Weekly Risk of Hypoglycemia in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring

AU - Cichosz, Simon Lebech

AU - Jensen, Morten Hasselstrøm

AU - Olesen, Søren Schou

PY - 2024/1/5

Y1 - 2024/1/5

M3 - Journal article

SN - 1520-9156

JO - Diabetes Technology & Therapeutics

JF - Diabetes Technology & Therapeutics

ER -