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A Step Towards Painless Diabetes Management: Ai-Driven Non-Invasive Blood Glucose Monitoring

https://doi.org/10.2139/ssrn.4688971
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1 of the 19 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1155/2022/8956850 (notice 2023-05-24).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamanetworkopen.2022.38645openalex-extracted
Effects of a Low-Carbohydrate Dietary Intervention on Hemoglobin A1c
inferredcites →https://doi.org/10.1007/s12265-012-9388-1openalex-extracted
Diabetic Complications: Current Challenges and Opportunities
inferredcites →https://doi.org/10.1007/s12291-021-00971-4openalex-extracted
Clarke Error Grid Analysis for Performance Evaluation of Glucometers in a Tertiary Care Referral Hospital
inferredcites →https://doi.org/10.1016/j.aca.2011.07.024openalex-extracted
Technology behind commercial devices for blood glucose monitoring in diabetes management: A review
inferredcites →https://doi.org/10.1016/s0025-7125(03)00128-7openalex-extracted
Insulin and insulin resistance:
inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-extracted
MIMIC-III, a freely accessible critical care database
inferredcites →https://doi.org/10.1088/1757-899x/711/1/012100openalex-extracted
A High-Efficiency and Real-Time Method for Quality Evaluation of PPG Signals
inferredcites →https://doi.org/10.1089/dia.2005.7.776openalex-extracted
The Original Clarke Error Grid Analysis (EGA)
inferredcites →https://doi.org/10.1109/icspis48135.2019.9045897openalex-extracted
Noninvasive Blood Glucose Estimation Using Pulse Based Cepstral Coefficients
inferredcites →https://doi.org/10.1109/iecbes48179.2021.9398841openalex-extracted
Model for Glycemic Level Detection using Heart Rate Variability in a Mexican Sample
inferredcites →https://doi.org/10.1109/rbme.2018.2822301openalex-extracted
Pain-Free Blood Glucose Monitoring Using Wearable Sensors: Recent Advancements and Future Prospects
inferredcites →https://doi.org/10.1155/2022/8956850openalex-extracted
Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques
inferredcites →https://doi.org/10.1371/journal.pone.0060166openalex-extracted
Lifestyles and Risk Factors Associated with Adherence to the Mediterranean Diet: A Baseline Assessment of the PREDIMED Trial
inferredcites →https://doi.org/10.2337/diacare.10.5.622openalex-extracted
Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose
inferredcites →https://doi.org/10.3390/app11020618openalex-extracted
Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning
inferredcites →https://doi.org/10.3390/math9202529openalex-extracted
Toward Non-Invasive Estimation of Blood Glucose Concentration: A Comparative Performance
inferredcites →https://doi.org/10.3390/nu10101456openalex-extracted
Bioelectrical Impedance Analysis Results for Estimating Body Composition Are Associated with Glucose Metabolism Following Laparoscopic Sleeve Gastrectomy in Obese Japanese Patients
inferredcites →https://doi.org/10.3390/s22124452openalex-extracted
Non-Invasive Blood Glucose Estimation System Based on a Neural Network with Dual-Wavelength Photoplethysmography and Bioelectrical Impedance Measuring
inferredcites →https://doi.org/10.4103/2277-9531.127541openalex-extracted
The prevention and control the type-2 diabetes by changing lifestyle and dietary pattern
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