Flex Conference (Physical / Digital)

International Conference on Data Science Applications in Healthcare - (ICDSAH-27)

14th - 15th May 2027 , Lima - Peru

Registration Options

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Call For Papers

The (ICDSAH-27) 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 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:

  • Data mining techniques in healthcare applications
  • Predictive modeling for patient outcomes
  • Machine learning for medical image analysis
  • Natural language processing in clinical data
  • Data visualization for healthcare insights
  • Wearable technology and data analytics
  • Electronic health records and data science
  • Telemedicine data analysis methodologies
  • Big data challenges in healthcare
  • AI-driven diagnostics and treatment recommendations
  • Patient privacy and data security issues
  • Integrating genomics data with clinical data
  • Real-time analytics for emergency care
  • Health informatics and data interoperability
  • Data-driven public health decision making
  • Ethical considerations in healthcare data science
  • Healthcare cost prediction models
  • Chronic disease management through data analytics
  • Data science for personalized medicine
  • Impact of social determinants on health outcomes

Assessment

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.

Publication

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