Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing

arXiv:2204.09601v2 Announce Type: replace
Abstract: Alzheimer's Disease (AD) is the most common form of dementia in the United States. Sleep is one of the lifestyle-related factors that has been shown critical for optimal cognitive function in old age. However, there is a lack of research studying the association between sleep and AD incidence. A major bottleneck for conducting such research is that the traditional way to acquire sleep information is time-consuming, inefficient, non-scalable, and limited to patients' subjective experience. A …

abstract age alzheimer's arxiv clinical cognitive cs.ai cs.cl dementia disease extraction form function however information language language processing lifestyle natural natural language natural language processing notes patients processing sleep type united united states