A PARTICLE SWARM OPTIMIZATION BASED NONLINEAR AUTOREGRESSIVE MODEL FOR PREDICTING PLASMA GLUCOSE LEVEL FOLLOWING IVGTT
An important aspect of real time glucose control in diabetic subjects is forecasting the future glucose profile. From a modeling perspective, the complexity of interactions between plasma glucose and its controlling hormone insulin, demands a nonlinear modeling approach for representing the dynamics...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Yeshwantrao Chavan College of Engineering, India
2016-07-01
|
| Series: | Journal of Research in Engineering and Applied Sciences |
| Subjects: | |
| Online Access: | http://www.mgijournal.com/Data/Issues_AdminPdf/49/Paper_16issue%20(1).pdf |