[HTML][HTML] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Background Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood
glucose (BG) regulation that might result in short and long-term health complications and …
glucose (BG) regulation that might result in short and long-term health complications and …
Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models
The large patient variability in human physiology and the effects of variables such as
exercise or meals challenge current prediction modeling techniques. Physiological models …
exercise or meals challenge current prediction modeling techniques. Physiological models …
Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study
Background Alterations in glucose metabolism, especially the postprandial glucose
response (PPGR), are crucial contributors to metabolic dysfunction, which underlies the …
response (PPGR), are crucial contributors to metabolic dysfunction, which underlies the …
[PDF][PDF] Error grid analysis of reference and predicted blood glucose level values as obtained from the normal and prediabetic human volunteer
MK Chowdhury, S Anuj, S Neeraj… - American Journal of …, 2015 - researchgate.net
Background: In this research paper, we represent a new noninvasive blood glucose level
determining technology based on Amplitude Modulated Ultrasound and Infrared techniques …
determining technology based on Amplitude Modulated Ultrasound and Infrared techniques …
Noninvasive blood glucose measurement utilizing a newly designed system based on modulated ultrasound and infrared light
MK Chowdhury, A Srivastava, N Sharma… - International Journal of …, 2016 - Springer
The approach of a new noninvasive innovation for blood glucose measurement will reform
management of diabetes alongside expanded patient compliance, decline load on …
management of diabetes alongside expanded patient compliance, decline load on …
From Data to Insight: Predicting Interstitial Glucose in Healthy Cohort with Non-invasive Sensor Technology and Machine Learning
X Huang, F Schmelter, C Seitzer, L Martensen, H Otzen… - 2023 - researchsquare.com
Continuous glucose monitoring (CGM) has transformed the care of diabetes mellitus
patients. It is increasingly used to support nutritional management in various …
patients. It is increasingly used to support nutritional management in various …
Data-based identification of prediction models for glucose
Diabetes mellitus is a disease that affects to hundreds of million of people worldwide.
Maintaining a good control of the disease is critical to avoid severe long-term complications …
Maintaining a good control of the disease is critical to avoid severe long-term complications …
Noninvasive Blood Glucose Measurment Using Modulated Ultrasound And Infrared Light
MK Chowdhury - 2017 - idr-lib.iitbhu.ac.in
Diabetes Mellitus has advanced as the severe healthcare endemic of the contemporary
world. Globally, the aggregate number of individuals with diabetes counts 382 million in …
world. Globally, the aggregate number of individuals with diabetes counts 382 million in …
[PDF][PDF] Development and Evaluation of Anti-tubercular Multiparticulate Novel Drug Delivery System
R Chawla - 2015 - idr-lib.iitbhu.ac.in
Doctor of Philosophy in Biomedical Engineering Page 1 NONINVASIVE BLOOD GLUCOSE
MEASURMENT USING MODULATED ULTRASOUND AND INFRARED LIGHT THESIS …
MEASURMENT USING MODULATED ULTRASOUND AND INFRARED LIGHT THESIS …