Understanding heart failure by analyzing patient data
Phenotyping Heart Failure through Analysis of Secondary Data
['FUNDING_R21'] · UNIVERSITY OF COLORADO DENVER · NIH-10764273
This study is looking at a lot of information from heart failure patients to find out how different types of heart failure can be treated better, so that doctors can give you more personalized care and improve your health outcomes.
Quick facts
| Phase | ['FUNDING_R21'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF COLORADO DENVER (nih funded) |
| Locations | 1 site (Aurora, UNITED STATES) |
| Trial ID | NIH-10764273 on ClinicalTrials.gov |
What this research studies
This research aims to analyze a large dataset of patients with heart failure using advanced machine learning techniques. By examining data from clinical trials and electronic health records, the project seeks to identify different types of heart failure and predict patient outcomes based on their unique characteristics. The goal is to improve how heart failure is managed by tailoring treatments to individual patient profiles. Patients may benefit from more personalized care and better treatment strategies as a result of this research.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with heart failure who have participated in clinical trials or have data available in electronic health records.
Not a fit: Patients without a diagnosis of heart failure or those who do not have accessible health data may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatments for patients with heart failure.
How similar studies have performed: Previous research using similar data analysis techniques has shown promise in improving patient outcomes in heart failure management.
Where this research is happening
Aurora, UNITED STATES
- UNIVERSITY OF COLORADO DENVER — Aurora, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KAO, DAVID PETER — UNIVERSITY OF COLORADO DENVER
- Study coordinator: KAO, DAVID PETER
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.