International Conference on Public Health Analytics with Big Data ICPHABD

Call For Papers

The ICPHABD 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 Big Data , encouraging applied research, case studies, and industry-driven innovations.

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

Big data analytics for public health

Predictive modeling in health outcomes

Data integration in health systems

Real-time health monitoring technologies

Social determinants of health analysis

Big data for epidemic outbreak prediction

Health data privacy and security concerns

Telemedicine and big data applications

Patient engagement through data insights

Big data in healthcare policy formulation

Wearable technology and health analytics

Machine learning in disease diagnosis

Data visualization for health trends

Challenges in health data interoperability

AI in personalized medicine approaches

Public health surveillance using big data

Ethical implications of health data usage

Big data for mental health analysis

Healthcare resource optimization with analytics

Future directions in public health analytics

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

Registration

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

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Publication

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

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Hybrid Event