World Journal of
Pharmaceutical and Life Sciences

A REVIEW ON THE ROLE OF PYTHON IN REAL-TIME GLUCOSE MONITORING AND DIABETES MANAGEMENT

Monica Samaya N. and Geetha Balasubramani*

ABSTRACT

The use of digital monitoring devices has evolved in recent years to better serve patients, particularly those with diabetes. These devices simplify the lives of diabetic individuals by helping them manage their diets and maintain optimal glucose levels. Digitalization of data plays a crucial role, enabling quicker and clearer communication, along with real-time updates for patients. It is also time-saving, as it reduces the effort required for record management. The primary goals include predicting glucose level fluctuations and notifying patients in advance for timely insulin administration. Among individuals with type 1 diabetes, there is an increasing demand for continuous glucose monitoring systems, which provide alerts for high or low blood glucose levels. This review article explores various Python libraries that assist in generating records and visualizations efficiently. These tools are especially valuable in clinical scenarios where obtaining continuous data and comparative findings can be challenging. Python offers simple yet powerful algorithms and a streamlined execution process for such applications. Additionally, this article compares Python-based methods with other glucose monitoring techniques, including machine learning and neural networks, which often utilize Internet of Things (IoT) technology for tracking blood glucose. Based on our comparison, Python demonstrated superior performance over alternative approaches.

[Full Text Article]   [Download Certificate]