The study focuses on using NLP algorithms to automate the extraction of sleep-related concepts from clinical notes of Alzheimer's patients. A rule-based NLP algorithm outperformed machine learning models and LLM-based algorithms in accuracy. Sleep information is sparsely documented in clinical notes, posing challenges for data extraction. The study highlights the importance of understanding the association between sleep and cognitive function in older adults with AD. Automated systems for extracting sleep information can aid in research on lifestyle factors affecting cognitive health.
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by Sonish Sivar... às arxiv.org 03-18-2024
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