Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients-Reference-Cited by-同舟云学术

Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19
language:
Short-container-title:

Author:

Asad Muhammad¹,Qamar Usman¹,Zeb Babar¹,Khan Aimal¹,Khan Younas¹

Affiliation:

1. Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan

Publisher

ACM Press

Reference18 articles.

1. T. Hamdi, J. Ben Ali, N. Fnaiech, V. Di Costanzo, F. Fnaiech, E. Moreau and J. Ginoux. Artificial neural network for blood glucose level prediction. 2017 International Conference on Smart, Monitored and Controlled Cities (SM2C), 2017.

2. J. Ben Ali, T. Hamdi, N. Fnaiech, V. Di Costanzo, F. Fnaiech and J. Ginoux. Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network. Biocybernetics and Biomedical Engineering, vol. 38, no. 4, pp. 828--840, 2018.

3. G. Robertson, E. Lehmann, W. Sandham and D. Hamilton. Blood Glucose Prediction Using Artificial Neural Networks Trained with the AIDA Diabetes Simulator: A Proof-of-Concept Pilot Study. Journal of Electrical and Computer Engineering, vol. 2011, pp. 1--11, 2011.

4. S. Bamgbose, X. Li and L. Qian. Closed-loop control of blood glucose level with neural network predictor for diabetic patients. 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), 2017

5. M. Reymann, E. Dorschky, B. Groh, C. Martindale, P. Blank and B. Eskofier. Blood glucose level prediction based on support vector regression using mobile platforms. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study;JMIR Diabetes;2023-11-24

2. A Machine Learning Model Based Web App to Predict Diabetic Blood Glucose;2023-01-19

3. Blood Glucose Prediction Method Based on Particle Swarm Optimization and Model Fusion;Diagnostics;2022-12-06

4. A Combination of Decision Trees with Machine Learning Ensembles for Blood Glucose Level Predictions;Proceedings of International Conference on Data Science and Applications;2021-11-23

5. Potential value and impact of data mining and machine learning in clinical diagnostics;Critical Reviews in Clinical Laboratory Sciences;2021-03-19