Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes

Innovations in digital health and machine learning are changing the path of clinical health and care. People from different geographical locations and cultural backgrounds can benefit from the mobility of wearable devices and smartphones to monitor their health ubiquitously. This paper focuses on re...

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Veröffentlicht in:	IEEE reviews in biomedical engineering 2024-01, Vol.17, p.1-19
Hauptverfasser:	Lu, Huiqi Y., Ding, Xiaorong, Hirst, Jane E, Yang, Yang, Yang, Jenny, Mackillop, Lucy, Clifton, David
Format:	Artikel
Sprache:	eng
Schlagworte:	Blood Blood Glucose Blood Glucose Self-Monitoring - methods Blood glucose sensors Diabetes Diabetes mellitus Diabetes, Gestational - diagnosis Diabetes, Gestational - therapy Digital Health Electronic healthcare Female Geographical locations Gestational diabetes Glucose Glucose monitoring Humans Innovations Learning algorithms Machine Learning Medical personnel Monitoring patient monitoring Patients Pregnancy Pregnancy complications Smartphones Technological change Telemedicine Wearable technology
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