AIMC Topic: Mental Health

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Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study.

Journal of affective disorders
BACKGROUND: Youths face significant mental health challenges exacerbated by stressful life events, particularly in the context of the COVID-19 pandemic. Immature coping strategies can worsen mental health outcomes.

Regulating AI in Mental Health: Ethics of Care Perspective.

JMIR mental health
This article contends that the responsible artificial intelligence (AI) approach-which is the dominant ethics approach ruling most regulatory and ethical guidance-falls short because it overlooks the impact of AI on human relationships. Focusing only...

Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders.

Journal of medical ethics
Recently clinicians have become more reliant on technologies such as artificial intelligence (AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of diseases, especially mental health disorders. These remarks, however, ap...

Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

Scientific reports
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic ...

Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.

Journal of epidemiology and global health
BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponentially recently, which cannot be integrated through traditional systematic review. Our study aims to systematically synthesize the evidence using natu...