Ethical dilemmas posed by mobile health and machine learning in psychiatry research

The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistic...

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Veröffentlicht in:	Bulletin of the World Health Organization 2020-04, Vol.98 (4), p.270-276
Hauptverfasser:	Jacobson, Nicholas C, Bentley, Kate H, Walton, Ashley, Wang, Shirley B, Fortgang, Rebecca G, Millner, Alexander J, Coombs, 3rd, Garth, Rodman, Alexandra M, Coppersmith, Daniel D L
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Best practice Confidentiality Consent Critical incidents Data collection Decision making Ethical dilemmas Ethics Ethics, Research Health research Information processing Information seeking behavior Informed Consent Learning algorithms Machine learning Machine Learning - ethics Medical research Mental disorders Mental health Mental health services Multiplication Policy & Practice Privacy Professional practice Psychiatry Questions Resolvers Smartphones Statistical analysis Technology Telemedicine Telemedicine - ethics Transparency Wrongdoing
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