International Conference on Machine Learning for Healthcare Analytics - (ICMLHA-27)


23rd - 24th January, 2027 | Fukuoka, Japan

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

24th December, 2026

Paper Submission Deadline

29th December, 2026

Last Date Of Registration

8th January, 2027

Date Of Conference

23rd - 24th January, 2027

Downloads

Call for Papers

The (ICMLHA-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence, Data Science, Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Machine learning for predictive healthcare analytics
  • AI applications in medical imaging analysis
  • Data science for patient outcome prediction
  • AI-driven personalized medicine approaches
  • Natural language processing in clinical data
  • Machine learning for drug discovery processes
  • AI in telemedicine and remote monitoring
  • Data privacy and ethics in healthcare AI
  • AI for optimizing hospital resource management
  • Predictive analytics for disease outbreak detection
  • AI applications in mental health assessment
  • Data-driven approaches to health policy analysis
  • Machine learning for genomics and precision medicine
  • AI in chronic disease management solutions
  • Healthcare data visualization techniques
  • AI for enhancing patient engagement strategies
  • Data science for healthcare cost reduction
  • AI in surgical robotics and automation
  • Machine learning for wearable health technology
  • Future directions in healthcare AI research

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.