An AI-based Decision Support System for Predicting Mental Health Disorders
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s10796-022-10282-5.pdf
Reference98 articles.
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2. Akhavan Abiri, F., & Shairi, M. R. (2020b). Validity and Reliability of Symptom Checklist-90-Revised (SCL-90-R) and Brief Symptom Inventory-53 (BSI-53). Clinical Psychology and Personality, 17(2), 169–195. https://doi.org/10.22070/CPAP.2020.2916
3. Akter, S., McCarthy, G., Sajib, S., Michael, K., Dwivedi, Y. K., D’Ambra, J., & Shen, K. N. (2021). Algorithmic bias in data-driven innovation in the age of AI. International Journal of Information Management, 60, 102387. https://doi.org/10.1016/J.IJINFOMGT.2021.102387
4. Americans, N., Article, S., Haghir, H., Mokhber, N., Azarpazhooh, M. R., Haghighi, M. B. … Plan, Y. (2013). … World Health Organization. The ICD-10 Classification of Mental and Behavioural Disorders. IACAPAP E-Textbook of Child and Adolescent Mental Health, 55(1993), 135–139. https://doi.org/10.4103/0019
5. Balcombe, L., & De Leo, D. (2021). Digital Mental Health Challenges and the Horizon Ahead for Solutions XSL • FO RenderX. JMIR Ment Health, 8(3), 1. https://doi.org/10.2196/26811
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