Towards Neural Network Model for Insulin/Glucose in Diabetics-II

No abstract is available for this paper.

• Publication year

  2005

• Venue

  Informatica

• Publication date

  Unknown publication date

• Fields of study

  Medicine, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Networks

  2007cited by this paper
• Introduction to Statistical Pattern Recognition

  2006cited by this paper
• Towards Neural Network Model for Insulin/Glucose in Diabetics

  2003cited by this paper
• Neural Networks in Signal Processing

  2000cited by this paper
• Is blood glucose predictable from previous values? A solicitation for data.

  1999cited by this paper
• Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels from the Complex Interaction of Counterregulatory Hormones

  1998cited by this paper
• Comparison of parametrized models for computer-based estimation of diabetic patient glucose response.

  1997cited by this paper
• Fundamentals of Artificial Neural Networks

  1996cited by this paper
• Retrospective validation of a physiological model of glucose-insulin interaction in type 1 diabetes mellitus.

  1994cited by this paper
• A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study.

  1994cited by this paper
• A spectrum of approaches for controlling diabetes

  1992cited by this paper
• Computer model for mechanisms underlying ultradian oscillations of insulin and glucose.

  1991cited by this paper
• Code recognition and set selection with neural networks

  1991cited by this paper
• Parallel Distributed Processing: Explorations in the Micro-structure of Cognition

  1989cited by this paper
• Multivariable Functional Interpolation and Adaptive Networks

  1988cited by this paper
• Self-Organization and Associative Memory

  1988cited by this paper
• Effect of insulin on the distribution and disposition of glucose in man.

  1985cited by this paper
• A model of glucose kinetics and their control by insulin, compartmental and noncompartmental approaches

  1984cited by this paper
• Feature Extraction by System Identification

  1982cited by this paper
• Quantitative estimation of insulin sensitivity.

  1979cited by this paper

• Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin

  2024cites this paper
• Exploring the progress of artificial intelligence in managing type 2 diabetes mellitus: a comprehensive review of present innovations and anticipated challenges ahead

  2023cites this paper
• A Survey on Personalization of Diabetes Treatment using Artificial Intelligence Techniques

  2023cites this paper
• A Review of the Genetic Algorithm and JAYA Algorithm Applications

  2022cites this paper
• Hybrid encryption technique: Integrating the neural network with distortion techniques

  2022cites this paper
• A Hybrid Connectionist/ Substitution Approach for Data Encryption

  2020cites this paper
• LiveDI: An Anti-theft Model Based on Driving Behavior

  2020cites this paper
• Near-optimal insulin treatment for diabetes patients: A machine learning approach

  2020cites this paper
• CAPTURING THE BRACHISTOCHRONE: NEURAL NETWORK SUPERVISED AND REINFORCEMENT APPROACHES

  2019cites this paper
• Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

  2019cites this paper
• A simple modeling framework for prediction in the human glucose-insulin system.

  2019cites this paper
• Artificial Intelligence for Diabetes Mellitus Type II: Forecasting and Anomaly Detection

  2019cites this paper
• CarbMetSim: A discrete-event simulator for carbohydrate metabolism in humans

  2018cites this paper
• Feedback Control in Life and Society

  2018cites this paper
• A Discrete-Event Simulation Approach for Modeling Human Body Glucose Metabolism

  2018cites this paper
• Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes

  2017cites this paper
• Personalized glucose forecasting for type 2 diabetes using data assimilation

  2017cites this paper
• Insulin Regimen ML-based control for T2DM patients

  2017cites this paper
• Integrating Mobile and NN in Blood Glucose Monitoring Application

  2015cites this paper
• Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges

  2015cites this paper
• Smart Health

  2015cites this paper
• Performance Evaluation of Levenberg-Marquardt Technique in Error Reduction for Diabetes Condition Classification

  2013cites this paper
• Determination of Blood Glucose Concentration by Using Wavelet Transform and Neural Networks

  2013cites this paper
• International Conference on Computational Science , ICCS 2013 Performance Evaluation of Levenberg-Marquardt Technique in Error Reduction for Diabetes Condition Classification

  2013cites this paper
• RETRACTED ARTICLE: Development of a neural network for glucose concentration prevision in patients affected by type 1 diabetes

  2012cites this paper
• Glucose Prediction in Type 1 and Type 2 Diabetic Patients Using Data Driven Techniques

  2011cites this paper
• Glucose level prediction using artificial neural networks

  2009cites this paper
• A Neural Network Approach in Predicting the Blood Glucose Level for Diabetic Patients

  2009cites this paper
• A Neural Network Approach in Predicting the Blood Glucose Level for Diabetic Patients

  2009cites this paper
• Diabetes Mellitus is a chronic metabolic disorder , where the improper management of the blood glucose level in the diabetic patients will lead to the risk of heart attack , kidney disease and renal failure

  2009cites this paper
• Predicting blood glucose levels in diabetics using feature extraction and Artificial Neural Networks

  2008cites this paper
• Controlling Blood Glucose Levels in Diabetics By Neural Network Predictor

  2007cites this paper