Improving Alzheimer's Disease Research with Advanced Data Techniques
Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language Processing
This study is working on new ways to make it easier to collect and organize health information about Alzheimer's and related dementias from medical records, so researchers can better understand and treat these conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-10892338 on NIH RePORTER |
What this research studies
This research focuses on enhancing the efficiency of Alzheimer's disease (AD) and related dementias studies by utilizing advanced data extraction techniques from electronic health records (EHRs). It aims to develop new methods using ontology and natural language processing (NLP) to automatically gather and standardize clinical data related to AD/ADRD. By streamlining the data collection process, the research seeks to facilitate more effective observational studies, ultimately leading to better understanding and treatment of these conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals aged 65 and older who are at risk for or diagnosed with Alzheimer's disease or related dementias.
Not a fit: Patients under the age of 65 or those without any risk factors for Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification of risk factors and more effective treatments for Alzheimer's disease and related dementias.
How similar studies have performed: Previous research has shown promise in using similar data extraction techniques for other medical conditions, indicating potential success for this novel approach in Alzheimer's research.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Xu, Hua — Yale University
- Study coordinator: Xu, Hua
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.