Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
<p dir="ltr">Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment. There is an increasing demand for non-invasive blood glucose monitoring and trends detection amongst people with diabetes a...
محفوظ في:
| المؤلف الرئيسي: | Ahmad Yaser Alhaddad (7017434) (author) |
|---|---|
| مؤلفون آخرون: | Hussein Aly (18877555) (author), Hoda Gad (6470522) (author), Abdulaziz Al-Ali (16393288) (author), Kishor Kumar Sadasivuni (8036039) (author), John-John Cabibihan (352200) (author), Rayaz A. Malik (7372649) (author) |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning
حسب: Md Nazmul Islam Shuzan (21842426)
منشور في: (2024) -
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
حسب: Arfan Ahmed (17541309)
منشور في: (2023) -
The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review
حسب: Arfan Ahmed (17541309)
منشور في: (2023) -
Blood Glucose Regulation Modelling and Intelligent Control
حسب: Nasar, Nabeel
منشور في: (2024) -
Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
حسب: Eljil, Khuloud Abdel Aziz Safi
منشور في: (2014)