What is it about?
In this paper we present HDCU, a hybrid data mining and case-based reasoning user modeling system, which is used to monitor and predict the blood sugar level in diabetics. The practical objective for this project is to reduce the cost of direct blood sugar self monitoring by minimizing the number of times that a diabetic needs to measure his or her sugar levels every day. From the technological point of view, the main aim is using the support vector machine as the classifier and implementing a case-based reasoning cycle as the retrieval cycle in order to indirectly determine and predict blood sugar level in diabetics and finally implement this software into a mobile device with wireless sensor networks and link it to a server which houses the relevant knowledgebase.
Featured Image
Photo by Prasesh Shiwakoti (Lomash) on Unsplash
Why is it important?
All people with diabetes have to work to keep the amount of glucose (sugar) in their blood as near to ideal as possible. This is called being in control. Also, keeping blood glucose levels near the normal range can help prevent or delay the start of such diabetes side effects as nerve, eye, kidney, and blood vessel damage.
Perspectives
In this paper we present HDCU, a hybrid data mining and case-based reasoning user modeling system, which is used to monitor and predict the blood sugar level in diabetics. The practical objective for this project is to reduce the cost of direct blood sugar self monitoring by minimizing the number of times that a diabetic needs to measure his or her sugar levels every day. From the technological point of view, the main aim is using the support vector machine as the classifier and implementing a case-based reasoning cycle as the retrieval cycle in order to indirectly determine and predict blood sugar level in diabetics and finally implement this software into a mobile device with wireless sensor networks and link it to a server which houses the relevant knowledgebase.
Dr zhiyuan chen
The University of Nottingham Malaysia
Read the Original
This page is a summary of: A Hybrid Data Mining and Case-Based Reasoning User Modeling System (HDCU) for Monitoring and Predicting of Blood Sugar Level, January 2008, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/csse.2008.1095.
You can read the full text:
Resources
Contributors
The following have contributed to this page
