Predicting 1-year death and recurrence after ischemic stroke using enriched EHR data
Official title: Machine Learning Prediction of 1-Year Mortality and Recurrence after Ischemic Stroke Using Enriched EHR data
Funded at Pennsylvania State Univ Hershey Med Ctr · NIH-11381766 · Data updated 2026-11-12
Researchers are using advanced computer models to identify which stroke patients are at higher risk of dying or having another stroke within a year, by analyzing enriched electronic health records.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Pennsylvania State Univ Hershey Med Ctr NIH-funded |
| Lab location | 1 site (Hershey, United States) |
| Project start | August 11, 2023 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $627,777 |
| NIH project number | 5R01NS128986-04 |
| Project ID | NIH-11381766 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults who have experienced an ischemic stroke and have rich electronic health record data available for analysis.
✕Less likely to help
Patients whose data do not populate the modeled features or who have atypical stroke presentations may see no direct benefit.
What this research studies
This project aims to improve predictions of 1-year mortality and stroke recurrence by applying machine learning to enhanced EHR data from people who have had an ischemic stroke. The team will build and validate models across diverse data to better identify high-risk patients and inform care decisions. The goal is to help clinicians allocate resources and tailor prevention strategies for those most at risk, with attention to generalizability across health systems.
Why it matters
Potential benefit: If successful, clinicians could more accurately anticipate risk and personalize post-stroke care to reduce death and recurrence.
How similar studies have gone: Previous machine learning approaches showed promise but often lacked broad generalizability across health systems.
Where this research is happening
-
Pennsylvania State Univ Hershey Med Ctr
Hershey, United States Active
Researchers
- Principal investigator: Abedi, Vida — Pennsylvania State Univ Hershey Med Ctr
- Study coordinator: Abedi, Vida
Related research
Other NIH-funded projects on the same topics.
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AI prediction of one-year death and repeat stroke after ischemic stroke
This project uses artificial intelligence and medical record data to predict whether people who had an ischemic stroke will die or have another stroke within one year.
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Using machine learning to predict death and recurrence after ischemic stroke
This study is looking to help doctors better predict how likely it is for patients to face serious health issues or pass away within a year after having an ischemic stroke, using advanced technology to analyze health records, so they can provide better care and support for those at higher risk.
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Improving blood flow after stroke by breaking down NETs
Aims to see if breaking down neutrophil extracellular traps (NETs) after an ischemic stroke can improve blood flow and reduce brain injury in patients.
-
EP2 blockers to protect the brain after a stroke
Aims to test brain-permeable EP2 antagonists to reduce damage after ischemic stroke and improve recovery.
-
Genetic testing to find causes of early-onset ischemic stroke
This project uses whole-exome sequencing to look for gene changes that may cause ischemic stroke in adults who had a stroke at a young age.
-
Targeted nanomedicine to protect the brain after stroke
A targeted drug-delivery approach aims to boost blood-brain barrier repair and reduce brain damage after an acute ischemic stroke in patients at risk.
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.