A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
An efficient Hybrid approach for diagnosis High dimensional data for Alzheimer's diseases Using Machine Learning algorithms
2022
International Journal of Intelligent Computing and Information Sciences
Alzheimer's disease (AD) is the most familiar type of dementia, a well-known term for memory loss and other cognitive disabilities. The disease is dangerous enough to interfere with ordinary life. Identifying AD in the early stages remains an extremely challenging task, meanwhile, the progression of it develops several years before observing any symptoms. The fundamental issue addressed during diagnosis is the high dimensionality of data. However, not all features are relevant for solving the
doi:10.21608/ijicis.2022.116420.1153
fatcat:sfg6ria6e5fy7n6bgqinxkwjr4