E-smart real-time blood sugar administration

被引：0

作者：

Otoom, Mwaffaq ^{[1
]}

Alshraideh, Hussam ^{[2
]}

Almasaeid, Hisham M. ^{[1
]}

López-De-ipiña, Diego ^{[3
]}

Bravo, José ^{[4
]}

机构：

[1] Yarmouk University, Jordan

[2] Jordan University of Science and Technology, Jordan

[3] University of Deusto, Spain

[4] Castilla-La Mancha University, Spain

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8868卷

关键词：

Blood sugar levels - Blood sugars - Historical data - Human bodies - Markov model - Process-based modeling - Real time - System control;

D O I：

10.1007/978-3-319-13105-4_61

中图分类号：

学科分类号：

摘要：

We develop a prototype for real-time blood sugar control based on the hypothesis that there is a medical challenge in determining the exact, real-time insulin dose. Our system controls blood sugar by observing the blood sugar level and automatically determining the appropriate insulin dose based on patient’s historical data, all in real time. At the heart of our system is an algorithm that determines the appropriate insulin dose. Our algorithm consists of two phases. In the first phase, the algorithm identifies the insulin dose offline using a Markov Process based model. In the other phase, it recursively trains the web hosted Markov model to adapt to different human bodies responsiveness. © Springer International Publishing Switzerland 2014.

引用

页码：409 / 412

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