Using machine learning to better understand dementia through health records
Official title: Machine learning-based methods for phenotyping dementia patients from electronic health record data
Funded at Johns Hopkins University · NIH-10906192 · Data updated 2026-11-12
This study is looking at new ways to use health records to better understand Alzheimer's and related dementias, so we can help doctors identify and care for patients more effectively.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | August 15, 2023 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $140,911 |
| NIH project number | 5K25AG083064-02 |
| Project ID | NIH-10906192 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or related dementias who have electronic health records available for analysis.
✕Less likely to help
Patients without a diagnosis of Alzheimer's disease or related dementias, or those without accessible electronic health records, may not benefit from this research.
What this research studies
This research focuses on developing advanced methods to analyze electronic health records (EHR) to improve the understanding of Alzheimer's disease and related dementias. By utilizing machine learning techniques, the project aims to accurately identify and characterize dementia patients based on their health data. The principal investigator, Dr. Roy Adams, will undergo training to enhance his expertise in dementia biology and care, while also learning to model psychiatric measurements. This comprehensive approach includes clinical exposure, coursework, and collaboration with experts in the field.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and better-targeted treatments for patients with Alzheimer's disease and related dementias.
How similar studies have gone: Other research has shown promising results using machine learning approaches to analyze health data for dementia, indicating that this methodology has potential for success.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Adams, Roy — Johns Hopkins University
- Study coordinator: Adams, Roy
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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.