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Original Article

Data Science in Mental Health: Suicide Rate Analysis and Forecasting

  • Paper ID 173
  • Volume 4, Issue 6
  • Pages 27-32
  • Published Online: November-December 2024
  • 27 Views
Open Access Peer Reviewed

Authors

  • Navneet Anand Mishra1
  • Pal Sachin2
  • Bhavin Patel3
  • Madhvi Bera4

1,2,3,4 Computer Science & Engineering Indus Institute of Technology & Engineering Ahmedabad, Gujarat, India.

Article Information

DOI
No DOI
Published Online
November-December 2024
Pages
27-32
Article Type
Original Article
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No DOI available for cross-reference

References

1. Beautrais, A. L. (2006). Suicide and serious suicide attempts in youth: A multiple-group comparison study. American Journal of Psychiatry,
163(6), 1093-1099.
2. Gunnell, D., & Lewis, G. (2005). Studying suicide from the life course perspective: Implications for prevention. The British Journal of
Psychiatry, 187(3), 206-208.
3. World Health Organization. (2014). preventing suicide: A global imperative. Geneva: World Health Organization.
4. Stack, S., & Wasserman, I. (2007). Economic strain and suicide risk: A qualitative analysis. Suicide and Life-Threatening Behavior, 37(1),
103-112.
5. Phillips, J. A., & Hempstead, K. (2017). Differences in US suicide rates by educational attainment, 2000-2014. American Journal of
Preventive Medicine, 53(4), e123-e130.
6. Pirkis, J., Cox, G. R., Dare, A., et al. (2017). The International Handbook of Suicide Prevention. Wiley.
7. Machine Learning Repository, University of California, Irvine. (n.d.). Adult Data Set. [Dataset]. Retrieved from
https://archive.ics.uci.edu/ml/datasets/adult
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