Using machine learning to predict death and recurrence after ischemic stroke
Machine Learning Prediction of 1-Year Mortality and Recurrence after Ischemic Stroke Using Enriched EHR data
['FUNDING_R01'] · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · NIH-10904746
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.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | PENNSYLVANIA STATE UNIV HERSHEY MED CTR (nih funded) |
| Locations | 1 site (HERSHEY, UNITED STATES) |
| Trial ID | NIH-10904746 on ClinicalTrials.gov |
What this research studies
This research aims to improve predictions of 1-year mortality and recurrence rates following ischemic stroke by utilizing advanced machine learning techniques on enriched electronic health record (EHR) data. The approach involves analyzing a wide range of clinical variables to identify patients at higher risk for adverse outcomes. By developing more accurate predictive models, the research seeks to enhance patient care through timely interventions and resource allocation. The study will expand upon existing models to ensure broader applicability across different health systems.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have experienced an ischemic stroke and are at risk for mortality or recurrence within one year.
Not a fit: Patients who have not experienced an ischemic stroke or those with other unrelated health conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better risk assessment and management strategies for stroke patients, potentially reducing mortality and recurrence rates.
How similar studies have performed: Previous research has shown promise in using machine learning for predictive modeling in healthcare, indicating potential for success in this novel approach.
Where this research is happening
HERSHEY, UNITED STATES
- 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
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.