An AI-based Decision Support System for Predicting Mental Health Disorders
Author
Abstract
Suggested Citation
DOI: 10.1007/s10796-022-10282-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Rachel Jenkins & Robert Kydd & Paul Mullen & Kenneth Thomson & James Sculley & Susan Kuper & Joanna Carroll & Oye Gureje & Simon Hatcher & Sharon Brownie & Christopher Carroll & Sheila Hollins & Mai L, 2010. "International Migration of Doctors, and Its Impact on Availability of Psychiatrists in Low and Middle Income Countries," PLOS ONE, Public Library of Science, vol. 5(2), pages 1-9, February.
- Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
- Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
- Parra, Carlos M. & Gupta, Manjul & Mikalef, Patrick, 2021. "Information and communication technologies (ICT)-enabled severe moral communities and how the (Covid19) pandemic might bring new ones," International Journal of Information Management, Elsevier, vol. 57(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021.
"Bad machines corrupt good morals,"
Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
- Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Post-Print hal-03292360, HAL.
- Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2023. "Bad machines corrupt good morals," Working Papers hal-04164419, HAL.
- Köbis, Nils & Bonnefon, Jean-François & Rahwan, Iyad, 2021. "Bad machines corrupt good morals," TSE Working Papers 21-1212, Toulouse School of Economics (TSE).
- Sonu Goel & Federica Angeli & Neetu Singla & Dirk Ruwaard, 2016. "Development and Validation of the Motivations for Selection of Medical Study (MSMS) Questionnaire in India," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-13, December.
- Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
- König, Pascal D. & Wenzelburger, Georg, 2021. "The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it," Technology in Society, Elsevier, vol. 67(C).
- Khalid Alshehhi & Ali Cheaitou & Hamad Rashid, 2024. "Procurement of Artificial Intelligence Systems in UAE Public Sectors: An Interpretive Structural Modeling of Critical Success Factors," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
- Chang, Tsung-Sheng & Hsieh, Yao-Chian, 2024. "Applying the analytic hierarchy process for investigating key indicators of responsible innovation in the Taiwan software service industry," Technology in Society, Elsevier, vol. 78(C).
- Veljko Dubljevic & George List & Jovan Milojevich & Nirav Ajmeri & William A Bauer & Munindar P Singh & Eleni Bardaka & Thomas A Birkland & Charles H W Edwards & Roger C Mayer & Ioan Muntean & Thomas , 2021. "Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-17, August.
- Fábio Duarte & Ricardo Álvarez, 2019. "The data politics of the urban age," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
- Lee, Dasom & Hess, David J. & Heldeweg, Michiel A., 2022. "Safety and privacy regulations for unmanned aerial vehicles: A multiple comparative analysis," Technology in Society, Elsevier, vol. 71(C).
- Hamid Akin Unver, 2022. "Using Social Media to Monitor Conflict-Related Migration: A Review of Implications for A.I. Forecasting," Social Sciences, MDPI, vol. 11(9), pages 1-14, September.
- Emilio M. Santandreu & Joaquín López Pascual & Salvador Cruz Rambaud, 2020. "Determinants of Repayment among Male and Female Microcredit Clients in the USA. An Approach Based on Managers’ Perceptions," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
- Han, Zhongya & Tang, Zhongjun & He, Bo, 2022. "Improved Bass model for predicting the popularity of product information posted on microblogs," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
- Noor Ahmed Giasuddin & Itzhak Levav & Gilad Gal, 2015. "Mental health stigma and attitudes to psychiatry among Bangladeshi medical students," International Journal of Social Psychiatry, , vol. 61(2), pages 137-147, March.
- Noah Castelo & Adrian F Ward, 2021. "Conservatism predicts aversion to consequential Artificial Intelligence," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
- Jon Truby, 2020. "Governing Artificial Intelligence to benefit the UN Sustainable Development Goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 946-959, July.
- Hemant Jain & Balaji Padmanabhan & Paul A. Pavlou & T. S. Raghu, 2021. "Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society," Information Systems Research, INFORMS, vol. 32(3), pages 675-687, September.
- Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
- Heshmatollah Asadi & Batoul Ahmadi & Saharnaz Nejat & Ali Akbari Sari & Ali Garavand & Abdollah Almasian Kia & Mojtaba Hasoumi, 2018. "Factors influencing the migration of Iranian healthcare professionals: A qualitative study," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-11, June.
- Valentina Vasile & Elena Bunduchi & Daniel Stefan & Calin-Adrian Comes & Razvan Vasile & Anamari-Beatrice Stefan, 2023. "Are We Facing a Radical Change in the Migration Behavior of Medical Graduates from Less Developed Countries? Demographic Profile vs. Social Push Factors," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
- Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
More about this item
Keywords
Mental Disorder; Artificial Intelligence; Machine learning; Network Science; Feature selection; SCL-90-R; Network Pattern Recognition; Healthcare Analytics; Disease Prediction; Diagnosis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:3:d:10.1007_s10796-022-10282-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.