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Dataset Information

Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review.


ABSTRACT:

Background

Diabetes is a chronic condition that necessitates regular monitoring and self-management of the patient's blood glucose levels. People with type 1 diabetes (T1D) can live a productive life if they receive proper diabetes care. Nonetheless, a loose glycemic control might increase the risk of developing hypoglycemia. This incident can occur because of a variety of causes, such as taking additional doses of insulin, skipping meals, or overexercising. Mainly, the symptoms of hypoglycemia range from mild dysphoria to more severe conditions, if not detected in a timely manner.

Objective

In this review, we aimed to report on innovative detection techniques and tactics for identifying and preventing hypoglycemic episodes, focusing on T1D.

Methods

A systematic liter

SUBMITTER: Tsichlaki S 

PROVIDER: S-EPMC9353679 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature