A Computational Model of Quantitatively Measuring the Alzheimer's Disease Progression in Face Identification

Yuxuan Zhang


There are numerous large-scale biomedical and pharmacological research projects to study Alzheimer’s Disease (AD), and potential drugs and therapeutic interventions to improve this severe disease. Of significant importance are life quality of AD patients.

In particular, AD patient’s ability to recognize intimate family members and nurses’ faces largely decides their life quality. The broad objective of this research is focused on providing methods to determine the extent of disease progress from the viewpoint of recovering as much cognitive ability as possible.

Specifically, this research would computerize the AD patient’s diseased brain and retrained the brain with focus on recovering the visual recognition ability of family member and medical care personnel. Likewise, potential recommendations for the patients’ family members and others who interact with the patients, in order to help improve quality of life and daily interactions.


Computational Model; Alzheimer’s Disease; Face Identification

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DOI: http://dx.doi.org/10.18686/esta.v6i1.93


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