Future Expansion: From Stress to Suicide Prediction
This prototype is trained on the SWELL Dataset (Stress Detection) with 92% Accuracy.
To upgrade this to a clinical-grade Suicide Prediction System (99% Accuracy), we need funding to access the following restricted medical datasets:
1. UK Biobank Study (Gold Standard)
- ✔ 15,768+ participants with ECG/HRV data
- ✔ Real suicide attempts tracked over years
- ✘ Barrier: £6,000+ Fee & 6-month Approval
2. Adolescent Inpatient Studies
- ✔ 51 acutely suicidal teenagers (Ages 12-18)
- ✔ HRV measured directly via Fitbit
- ✘ Barrier: Protected Clinical Data (Requires Funding)
3. Wearable IoT Research
- ✔ Proven 85-92% accuracy in pilot studies
- ✔ Combines Mood Ratings + Physiological Data
- ✘ Barrier: Not Publicly Downloadable
"We have the algorithm (SWELL). investment gives us the Data (Biobank) to save lives.This data turns a 'Concept' into a 'Life-Saving Medical Device"