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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

Abstract

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Self-murder is a global public health concern with profound societal and individual impacts. This exploration paper aims to dissect self-murder rates from colorful perspectives and develop prophetic models to understand and potentially alleviate this critical issue. We employ a multidisciplinary approach, exercising data analysis, machine literacy, and socio- profitable factors to gain perceptivity into the factors impacting self-murder rates and produce prophetic models that can help in forestallment sweats. The study covers an expansive dataset gauging several times and multiple countries to give a comprehensive view of this complex problem

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  • ISSN 2583-1240
  • Open Access
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