Improving the detection and classification of sepsis using advanced data analysis methods
Official title: Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR
Funded at Duke University · NIH-11059098 · Data updated 2026-11-12
This study is looking at new ways to spot and understand sepsis earlier by using advanced techniques on electronic health records, which could help doctors make better treatment decisions and improve care for patients with this serious condition.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project start | April 1, 2024 |
| Project end | March 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $560,749 |
| NIH project number | 5R01HL169347-02 |
| Project ID | NIH-11059098 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults diagnosed with sepsis or at high risk for developing sepsis.
✕Less likely to help
Patients who are not diagnosed with sepsis or do not have risk factors for sepsis may not benefit from this research.
What this research studies
This research focuses on enhancing the early detection and classification of sepsis, a life-threatening condition, by utilizing advanced tensor methods applied to electronic health records (EHR). By analyzing complex data from EHRs, the research aims to identify patient phenotypes and improve clinical decision-making for sepsis treatment. The approach involves transforming high-dimensional EHR data into a tensor format, which allows for more effective analysis and insights into patient care. This could lead to more personalized treatment strategies and better outcomes for patients diagnosed with sepsis.
Why it matters
Potential benefit: If successful, this research could significantly improve the early detection and treatment of sepsis, potentially reducing mortality rates and enhancing patient outcomes.
How similar studies have gone: Previous research has shown promise in using advanced data analysis techniques for improving clinical outcomes in various conditions, indicating potential success for this novel approach to sepsis.
Where this research is happening
-
Duke University
Durham, United States Active
Researchers
- Principal investigator: Zhang, Anru — Duke University
- Study coordinator: Zhang, Anru
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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.