Towards an advanced mental health assessment system in minority languages
A minority language is an idiom spoken by a minority of the population in a given territory, in competition with one or more other majority or dominant languages: provincial, regional, national or ethnic linguistic minorities.
A minoritized language is an idiom that has suffered marginalization, persecution or even prohibition at some point in the history of its speakers.
Mental health may be linked to cultural identity and vary according to local psychosocial factors. Some minority languages may have specific forms of expression or terms to describe distress and associated emotions, which do not always have equivalents in majority languages.
Similarly, the way in which stress is expressed may be influenced by psycholinguistic norms. For example, some cultures may encourage open expression of emotions, while others may value restraint.
Finally, minority language communities may have specific rituals, practices or strategies for expressing and managing stress or anxiety, such as ceremonies, songs or stories.
The potential of artificial intelligence in terms of language models and machine learning can be put at the service of health professionals to improve the consideration of diversity and the assessment of mental health difficulties directly in minority languages, without going through translation or interpretation, for the sake of greater precision and better inclusion.
Chatbots and virtual assistants can offer 24/7 support, allowing minority communities to access mental health advice and resources at any time.
This is especially helpful for people who may feel uncomfortable talking about their mental health issues in person.
AI tools can be used to train mental health professionals, providing them with simulations and interactive scenarios to improve their knowledge and skills.
AI can help therapists by providing detailed analyses of behaviors and symptoms, which helps to better understand the needs of minority communities.
AI can analyze large amounts of data to personalize treatments and interventions based on the specific needs of each minority person.
This allows for more personalized care plans and tailoring treatments to minority communities.
AI platforms often allow users to remain anonymous, which can encourage people to seek help without fear of judgment or stigma.
Virtual interactions can be perceived as more confidential, which can encourage minority communities to share their concerns more freely.
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