Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD)

<p dir="ltr">Objective: Continuous glucose monitoring (CGM) is widely used to monitor glucose levels in patients with diabetes and guide insulin dosing in outpatients. In inpatient care, special regulatory requirements necessitate CGM accuracy as a prerequisite for its integration in...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jill von Conta (22379489) (author)
مؤلفون آخرون:	Fin H. Bahnsen (22379496) (author), Lutz Heinemann (227698) (author), Lukas van Baal (11716262) (author), Jens Kleesiek (15333634) (author), Dagmar Führer-Sakel (198857) (author), Susanne Tan (11685490) (author)
منشور في:	2025
الموضوعات:	Other health sciences not elsewhere classified Machine Learning Continuous Glucose Monitoring (CGM) Clinical Decision Making Data Analysis Inpatient
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Advancing Continuous Glucose Monitoring (CGM) for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference (MARD)

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