Conference Paper

A Novel Individual Blood Glucose Control Model Based on Mixture of Experts Neural Networks.

DOI: 10.1007/978-3-540-28648-6_72 Conference: Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II
Source: DBLP

ABSTRACT An individual blood glucose control model (IBGCM) based on the Mixture of Experts (MOE) neural networks algorithm was designed
to improve the diabetic care. MOE was first time used to integrate multiple individual factors to give suitable decision advice
for diabetic therapy. The principle of MOE, design and implementation of IBGCM were described in details. The blood glucose
value (BGV) from IBGCM extremely approximated to training data (r=0.97± 0.05, n=14) and blood glucose control aim (r=0.95± 0.06, n=7).

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