Predicting health risks in heart failure patients using advanced data analysis.
Real time risk prognostication via scalable hazard trees and forests
This study is looking at how we can use information from wearable devices and health records to help doctors predict health risks for people with heart failure, so they can give better care and keep patients healthier.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Miami School of Medicine NIH-funded |
| Lab location | 1 site (Coral Gables, United States) |
| Project ID | NIH-11063194 on NIH RePORTER |
What this research studies
This research focuses on utilizing data from wearable devices and Electronic Health Records (EHRs) to create real-time systems that can predict health risks for patients, particularly those with heart failure. By employing advanced machine learning techniques, the study aims to analyze complex health data to identify potential adverse outcomes and provide personalized risk assessments. The goal is to develop user-friendly software that can be used by healthcare providers to improve patient care and outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are heart failure patients who are listed for heart transplantation and have access to wearable health monitoring devices.
Not a fit: Patients with conditions unrelated to heart failure or those not listed for transplantation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of health risks, allowing for timely interventions that could improve survival rates and quality of life for patients.
How similar studies have performed: Previous research has shown promise in using machine learning for health risk prediction, indicating that this approach could be effective.
Where this research is happening
Coral Gables, United States
- University of Miami School of Medicine — Coral Gables, United States (Active)
Researchers
- Principal investigator: Ishwaran, Hemant — University of Miami School of Medicine
- Study coordinator: Ishwaran, Hemant
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.