Managing Data Uncertainty and Machine Learning for Adult ADHD Classification Using Accelerometry: OBF-Psychiatric Case Study
Description
Repository containing files, statistics and visualizations related to the OBF-Psychiatric database analysis and manuscript in progress.
📊 Original data taken from: Garcia-Ceja, E., Stautland, A., Riegler, M. A., Halvorsen, P., Hinojosa, S., Ochoa-Ruiz, G., Berle, J. O., Førland, W., Mjeldheim, K., Oedegaard, K. J., & Jakobsen, P. (2025). OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD. Scientific Data, 12(1), 32. https://doi.org/10.1038/s41597-025-04384-3
✅ Allowed:
Academic and research use (with proper citation)
Modify and adapt the data (with proper citation)
Redistribute (with proper citation)
❌ Prohibited:
Commercial use of any kind
📧 Contact
For questions about this research, please contact: [paola.azcastillo@gmail.com] or [paola.azcastillo@ieee.org]
Citation:
P. A. Castillo-Gutiérrez, “Managing Data Uncertainty and Machine Learning for Adult ADHD Classification Using Accelerometry: OBF-Psychiatric Case Study”. Zenodo, Jul. 2025. doi: 10.5281/zenodo.16396176.
Files
main-main.zip
Files
(288.2 MB)
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Additional details
Dates
- Created
-
2024-09
Software
- Programming language
- Python
- Development Status
- Active