Using social media and machine learning to improve treatment for young people with schizophrenia
Leveraging Social Media Data and Machine Learning to Optimize Treatment Paradigms for Youth with Schizophrenia
This study is looking at how social media posts from young people with schizophrenia can help doctors spot early signs of a relapse and improve their treatment, making it easier to support them when they need it most.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10369003 on NIH RePORTER |
What this research studies
This research investigates how social media data can be utilized to enhance treatment strategies for youth suffering from schizophrenia. By analyzing patient-generated content on social media, the study aims to identify early warning signs of relapse and develop machine learning models for predicting these relapses. The approach focuses on creating a more comprehensive understanding of patients' emotional and cognitive states through their online interactions, which can lead to timely interventions. The goal is to improve long-term outcomes and reduce the frequency of relapses in this vulnerable population.
Who could benefit from this research
Good fit: Ideal candidates for this research are young adults diagnosed with schizophrenia who are active on social media.
Not a fit: Patients who are not active on social media or who do not have a diagnosis of schizophrenia may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies for relapses in young individuals with schizophrenia.
How similar studies have performed: Other research has shown promise in using digital data for mental health monitoring, suggesting that this approach could be effective.
Where this research is happening
Atlanta, United States
- Georgia Institute of Technology — Atlanta, United States (Active)
Researchers
- Principal investigator: De Choudhury, Munmun — Georgia Institute of Technology
- Study coordinator: De Choudhury, Munmun
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.