Detection of Alzheimer’s Disease Using Logistic Regression and Clock Drawing Errors
Sophia Lazarova,
Denitsa Grigorova,
Dessislava Petrova-Antonova
Abstract:Alzheimer’s disease is an incurable disorder that accounts for up to 70% of all dementia cases. While the prevalence of Alzheimer’s disease and other types of dementia has increased by more than 160% in the last 30 years, the rates of undetected cases remain critically high. The present work aims to address the underdetection of Alzheimer’s disease by proposing four logistic regression models that can be used as a foundation for community-based screening tools that do not require the participation of medical p… Show more
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