Identifying Patterns in Long Term CGM and Insulin Data - An Explorative Study.

Giese, Iben E; Jensen, Morten H; Kronborg, Thomas; Søndergaard, Therese H; Hangaard, Stine

Giese, Iben E; Jensen, Morten H; Kronborg, Thomas; Søndergaard, Therese H; Hangaard, Stine.

Afiliação

Giese IE; Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
Jensen MH; Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
Kronborg T; Data Science, Novo Nordisk A/S, Søborg, Denmark.
Søndergaard TH; Department of Health Science and Technology, Aalborg University, Gistrup, Denmark.
Hangaard S; Steno Diabetes Center North DK, Aalborg University Hospital, Aalborg, Denmark.

Stud Health Technol Inform ; 316: 21-22, 2024 Aug 22.

Article em En | MEDLINE | ID: mdl-39176664

ABSTRACT

ABSTRACT

The increased utilization of continuous glucose monitors (CGM) and smart insulin pens (SIP) among people with type 2 diabetes generates significant health data. This study explored possible patterns in long term CGM and SIP data.

Assuntos

Automonitorização da Glicemia; Diabetes Mellitus Tipo 2; Sistemas de Infusão de Insulina; Insulina; Humanos; Diabetes Mellitus Tipo 2/sangue; Diabetes Mellitus Tipo 2/tratamento farmacológico; Insulina/uso terapêutico; Glicemia/análise; Hipoglicemiantes/uso terapêutico

Palavras-chave

Long term data; continuous glucose monitor; patterns; smart insulin pen

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Infusão de Insulina / Automonitorização da Glicemia / Diabetes Mellitus Tipo 2 / Insulina Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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