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Call for Paper

The ICDSHFSS emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Statistics,Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

01
Data science applications in healthcare
02
Predictive analytics for patient outcomes
03
Machine learning in social sciences research
04
Data-driven decision making in healthcare
05
Statistical methods for health data analysis
06
Data science for public health initiatives
07
Healthcare analytics for operational efficiency
08
Statistical modeling for healthcare costs
09
Data visualization in healthcare analytics
10
Ethics in healthcare data science
11
Data science applications in finance
12
Predictive modeling for disease outbreaks
13
Data science for social impact projects
14
Statistical techniques for healthcare quality assessment
15
Real-time analytics in healthcare settings
16
Data-driven approaches to mental health
17
Applications of AI in healthcare analytics
18
Future trends in healthcare data science
19
Statistical methods for health disparities analysis
20
Integrating data science with clinical practice

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.