Application of Fuzzy Logic and Neural Network Algorithm as an Input to Decision Support System Prescribing Medicine for Diabetes

Authors

  • Joseph Fidelino
  • B. D. Gerardo
  • B. T. Tangulig III

Keywords:

decision support system, fuzzy logic, neural network, diabetes

Abstract

Decision support system (DSS) is a commonly used strategy to come up with a better solution. In the field of medicine, ideas from other doctors would be an effective way to determine the successful result of medicating a patient

References

Artificial Neural Network: Current Application in Modern Medicine, S. Lei and W. Xing-cheng, International of Computer and Communication Technologies in Agriculture Technologies, 383

COX

An Approach to Syndrome Differentiation in Traditional Chinese Medicine based on Neural Network, M. Shi and C. Zhou, Third International Conference in Natural Computation, 2007

Semi-Supervised Clustering Models for Clinical Risk Assessment, Y. Huo, F. Azuaje, P. McCullagh, and R. Harper, 6th IEEE Symposium in BioInformatics and BioEngineering, 2006

Fuzzy Fusion Approach for Hospital Illness Tracking, X. Lei and X. Zheng, 3rd International Conference on Biomedical Engineering and Informatics, 2645

Predicting Hospital Length of Stay (PHLOS) : A Multi-Tiered Data Mining Approach, A. Azari, V. Janeja, and A. Mohseni, 12th International Conference on Data Mining Workshops, 17

Study of Type 2 Diabetes Risk Factor using Neural Network for Thai People and Tuning Neural Network Parameters, W. Luangruangrong, A. Rodtook, and S. Chimanee, IEEE International Conference on Systems, Man, and Cybernetics, 991

Optimizing Fuzzy Logic Controller for Diabetes Type 1 by Genetic Algorithm, K. Osgouie and A. Azizi, 4

Neural Network and Neuro-Fuzzy System for Improving Diabetes Therapy, W.A. Sandham, D.J. Hamilton, A. Japp, and K. Patterson, 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 20 No. 3, 1438

Diagnosis of Diabetes by using Adaptive Neuro Fuzzy Interference Systems, A. Karahoka, D. Karahoka, and A. Kara, 2009

Fuzzy-Based Controller for Glucose Regulation in Type-1 Diabetic Patients by Subcutaneous Route, D.U. Campos-Delgado, M. Hernandez-Ordo

A Fuzzy Logic based AGC Algorithm for a Radio Communication System, J. Barajas, G. Assad, and R. Sotto.

Downloads

Published

2014-05-12

How to Cite

Fidelino, J., Gerardo, B. D., & Tangulig III, B. T. (2014). Application of Fuzzy Logic and Neural Network Algorithm as an Input to Decision Support System Prescribing Medicine for Diabetes. International Journal of Sciences: Basic and Applied Research (IJSBAR), 15(1), 541–547. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/1994

Issue

Section

Articles