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Lifestyle Log Based Blood Glucose Level Prediction for Outpatient Care

Authors:
Istvan Szabo
Peter Gyuk
Istvan Vassanyi

Keywords: Glucose-level tracking; eHealth; Glucose-Insulin system; Glucose absorption; Diabetes mellitus

Abstract:
Treatment of diabetes mellitus is a crucial problem in modern health care. Surveys show that the currently used methods to estimate the required amount of insulin are quite inefficient in practice as they are based on experience and conjecture. This paper offers a new method to predict the glucose level of people with diabetes. The proposed approach combines two efficient models found in literature. The mixture of the methods tracks the blood sugar level considering nutrition, applied insulin and initial glucose level. According to our tests, the model gives satisfactory results with real patients both in inpatient and outpatient care.

Pages: 205 to 210

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-327-8

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014