Acta Scientific Computer Sciences

Short Communication Volume 3 Issue 9

Role of Artificial Intelligence in Mental Healthcare

Chetna Khanna*

MSc Mathematics, MS Data Science, NLP Engineer - Jeevahealth.ai, Washington, USA

*Corresponding Author: Chetna Khanna, MSc Mathematics, MS Data Science, NLP Engineer - Jeevahealth.ai, Washington, USA.

Received: July 09, 2021; Published: August 18, 2021

Mental health, an extremely important topic related to a person’s wellbeing but sadly a topic which is least discussed in our society. With the fear of being judged and questioned, people generally keep thoughts related to their mental health to themselves. While they love to share their joys with their friends and family whom they feel so connected to but while coming to the topics of mental health these connections seem missing. Results are unfortunately devastating. Issues like these lead to depression and a time comes when a person reaches a state where they are bound to take steps that are unpleasant like self-harm and even suicide. According to WHO, each year more than 700,000 people die by suicide, which is one person every 40 seconds [1].

Bibliography

  1. https://www.who.int/teams/mental-health-and-substance-use/suicide-data
  2. https://www.apa.org/monitor/2020/01/cover-trends-innovative-ways
  3. https://adaa.org/understanding-anxiety/generalized-anxiety-disorder-gad
  4. https://www.hrsa.gov/behavioral-health/patient-health-questionnaire-phq-screeners
  5. https://woebothealth.com/
  6. https://replika.ai/
  7. https://www.lyssn.io/
  8. https://arxiv.org/pdf/1910.12611.pdf
  9. https://www.bbc.com/news/technology-35890188

Citation

Citation: Chetna Khanna. “Role of Artificial Intelligence in Mental Healthcare". Acta Scientific Computer Sciences 3.9 (2021): 48-49.

Copyright

Copyright: © 2021 Chetna Khanna. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate35%
Acceptance to publication20-30 days

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