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Call For Papers

The ICDSHFSS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, Data Science, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data science applications in healthcare
  • Predictive analytics for patient outcomes
  • Machine learning in social sciences research
  • Data-driven decision making in healthcare
  • Statistical methods for health data analysis
  • Data science for public health initiatives
  • Healthcare analytics for operational efficiency
  • Statistical modeling for healthcare costs
  • Data visualization in healthcare analytics
  • Ethics in healthcare data science
  • Data science applications in finance
  • Predictive modeling for disease outbreaks
  • Data science for social impact projects
  • Statistical techniques for healthcare quality assessment
  • Real-time analytics in healthcare settings
  • Data-driven approaches to mental health
  • Applications of AI in healthcare analytics
  • Future trends in healthcare data science
  • Statistical methods for health disparities analysis
  • Integrating data science with clinical practice

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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