An App for Health Monitoring for Diabetic Patient

Abstract

The creation of multiple apps has been aided by the advancement of the digital era. The growing population has resulted in an increase in the number of persons suffering from a variety of diseases. Diabetes is one of the most common diseases that affects the majority of people around the world. It is vital for them to assess the level of glucose in their bodies using a variety of invasive procedures. Patients who use these methods experience a lot of pain. To avoid these techniques, we presented in this app that relies on the level of glucose in the body, user input, and daily health data. Android is used because it is faster and more efficient than other phones. Patients in rural places are unable to visit hospitals on a regular basis, and our app will help to alleviate this problem. The app is efficient and dependable because patient monitoring may be done anywhere. When compared to other traditional health monitoring systems for patients in hospitals, the system's Performance is evaluated and shown to be substantially more efficient. Regular blood glucose monitoring is important for decreasing and avoiding diabetic complications such as cardiovascular disease, hypertension, and cardiac strokes, among others. The proposed system keeps track of the users' numerous health-related behaviors. It can be thought of as a healthcare information platform that allows patients, medical institutions, and medical devices to communicate via data transmission. The machine learning algorithms assist the user in comprehending and reviewing their current health habits as well as predicting future health changes.