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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Therese H Kim1, David L Sultzer2,3
1UC Irvine Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, CA, USA.
This study found that while age, sex, and cognitive scores predict cognitive decline in all individuals, amyloid levels influence which specific factors, like memory concerns or low energy, are most predictive. Understanding these differences is key for targeted interventions.
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