An ensemble based data fusion approach for early diagnosis of Alzheimer's disease

As the number of the elderly population affected by Alzheimer's disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure that can be made available to community healthcare providers is becoming an increasingly urgent public health concern. Several recent studies have looked at analyzing electroencephalogram (EEG) signals through the use of wavelets and neural networks. While showing great promise, the final outcomes of these studies have been largely inconclusive. This is mostly due to inherent difficulty of the problem, but also

• Type: Journal
• Year: 2008
• Where: INFFUS
• Authors: Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer Frymiare, John Kounios, Christopher M. Clark
• Keywords: Data Fusion Approach, INFFUS 2006, INFFUS 2008, Non-intrusive Diagnostic Procedure, Urgent Public Health