Flex Conference (Physical / Digital)

International Conference on Machine Learning and Data Analytics - (ICMLDA-26)

14th - 15th December 2026 , Bali - Indonesia

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICMLDA-26) 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 Artificial Intelligence,Data Science,Machine Learning 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:

  • Machine learning applications in healthcare
  • Data analytics for clinical decision making
  • Predictive modeling for patient outcomes
  • AI in health informatics and data management
  • Ethical considerations in data analytics
  • Natural language processing for health data
  • Real-time analytics in patient monitoring
  • Machine learning for chronic disease prediction
  • Data visualization techniques in healthcare
  • AI-driven insights for population health
  • Impact of big data on healthcare delivery
  • Collaborative tools for data scientists
  • Machine learning for personalized treatment plans
  • Data privacy and security in healthcare
  • Future trends in machine learning and analytics
  • AI applications in telemedicine
  • Healthcare applications of deep learning
  • Data integration challenges in healthcare systems
  • Machine learning for health equity research
  • Interdisciplinary approaches to data science

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.