Using machine learning to identify children at risk for autism and ADHD early
Machine Learning Methods to Develop and Deploy Real-Time Risk Surveillance for Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder from the Electronic Health Record
This study is looking to help doctors spot kids who might be at risk for autism or ADHD earlier by using information from their health records, so they can get the right support sooner.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10918192 on NIH RePORTER |
What this research studies
This research aims to improve the early identification of children at risk for autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) by utilizing data from electronic health records (EHR). By analyzing early health system utilization patterns and risk factors, the study will develop predictive models that can help clinicians make informed decisions about early interventions. The approach focuses on optimizing prediction accuracy while considering the balance between early identification and the need for additional data. Ultimately, this research seeks to enhance screening processes and improve outcomes for affected children.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-11 years who may be at risk for autism spectrum disorder or attention-deficit hyperactivity disorder.
Not a fit: Patients who are already diagnosed with ASD or ADHD may not benefit directly from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate identification of children at risk for ASD and ADHD, allowing for timely interventions that improve long-term developmental outcomes.
How similar studies have performed: Previous research has shown promise in using electronic health record data for early identification of ASD and ADHD, indicating that this approach has potential for success.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Engelhard, Matthew Morrow — Duke University
- Study coordinator: Engelhard, Matthew Morrow
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.