Improving predictions of cancer treatment outcomes using electronic health records data
Semi-supervised Approaches to Denoising Electronic Health Records Data for Risk Prediction
['FUNDING_R01'] · HARVARD SCHOOL OF PUBLIC HEALTH · NIH-10834910
This study is looking at ways to improve how we predict cancer treatment outcomes by using electronic health records, so that doctors can provide more personalized care based on real patient data.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | HARVARD SCHOOL OF PUBLIC HEALTH (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-10834910 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the accuracy of predictions related to cancer treatment outcomes by utilizing electronic health records (EHR). It aims to develop semi-supervised methods that can effectively analyze large datasets, which include both noisy data and limited human-annotated information. By bridging the gap between clinical trial results and real-world patient data, the research seeks to create more reliable models for predicting disease progression and treatment responses. This approach could lead to better personalized care for patients based on their unique health records.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients with cancer whose treatment outcomes can be predicted using their electronic health records.
Not a fit: Patients who do not have electronic health records or whose conditions are not well-represented in the data may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of cancer treatment outcomes, ultimately improving patient care and treatment strategies.
How similar studies have performed: Previous research has shown promise in using electronic health records for predictive modeling, indicating that this approach could be effective.
Where this research is happening
BOSTON, UNITED STATES
- HARVARD SCHOOL OF PUBLIC HEALTH — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CAI, TIANXI — HARVARD SCHOOL OF PUBLIC HEALTH
- Study coordinator: CAI, TIANXI
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.
Conditions: Cancers, neoplasm/cancer