A stacked long short-term memory approach for predictive blood glucose monitoring in women with gestational diabetes mellitus
Gestational diabetes mellitus (GDM) is a subtype of diabetes that develops during pregnancy. Managing blood glucose (BG) within the healthy physiological range can reduce clinical complications for women with gestational diabetes. The objectives of this study are to (1) develop benchmark glucose pre...
Päätekijät: | Lu, HY, Lu, P, Hirst, JE, Mackillop, L, Clifton, DA |
---|---|
Aineistotyyppi: | Journal article |
Kieli: | English |
Julkaistu: |
MDPI
2023
|
Samankaltaisia teoksia
-
A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus
Tekijä: Huiqi Y. Lu, et al.
Julkaistu: (2023-09-01) -
Digital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes
Tekijä: Lu, HY, et al.
Julkaistu: (2023) -
Digital blood glucose monitoring could provide new objective assessments of blood glucose control in women with gestational diabetes
Tekijä: Hirst, JE, et al.
Julkaistu: (2016) -
GDm-Health: A Pilot Study Examining Acceptability of Mobile Phone Assisted Remote Blood Glucose Monitoring for Women with Gestational Diabetes Mellitus
Tekijä: Hirst, J, et al.
Julkaistu: (2014) -
Machine learning-based risk stratification for gestational diabetes management
Tekijä: Yang, J, et al.
Julkaistu: (2022)