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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
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Clinical Manifestations
Federica Cacciamani1,2, Graziella Mangin Laignel2, Audrey Gabelle3,4
1ARAMISLab, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France, France.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
Summary
Digital platforms like DocMemo help identify individuals with cognitive complaints. Factors like depression, anxiety, and sleep disorders are linked to higher complaints, while older age and education are linked to lower complaints.
Area of Science:
- Neuroscience
- Gerontology
- Digital Health
Background:
- Early identification of Alzheimer's disease and related disorders (ADRD) risk is crucial.
- Home-based digital platforms offer unique data collection for cognitive complaint analysis.
- DocMemo provides cognitive screening, ADRD education, and research interest expression.
Purpose of the Study:
- To analyze DocMemo users with self-reported cognitive complaints.
- To identify key factors associated with increased cognitive complaints.
Main Methods:
- Retrospective analysis of 10,489 DocMemo users.
- Cognitive complaints measured by the Cognitive Function Index (CFI).
- Multivariate linear regression used to analyze demographic, psychological, health, and lifestyle data.
Main Results:
- Higher CFI scores associated with depression, anxiety, sleep disorders, hearing impairment, diabetes, alcohol consumption, and smoking.
- Older age and higher education levels correlated with lower CFI scores.
- Individuals with higher CFI scores were more likely to join future research.
Conclusions:
- DocMemo effectively identifies individuals with cognitive complaints and ADRD risk factors.
- Digital platforms are valuable for understanding subjective cognitive complaints.
- Findings can guide targeted prevention strategies for cognitive decline.
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