SNRI

(ICHCDMDSS - 27) | Hybrid Event
28th - 29th January 2027 | Leipzig, Germany

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International Conference on Healthcare Data Mining and Decision Support Systems
(ICHCDMDSS - 27)

28th - 29th January 2027 Leipzig, Germany (Hybrid Event)

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Call for Paper

The ICHCDMDSS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Mining, Health, Artificial Intelligence, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining techniques in healthcare
  • Predictive analytics for patient outcomes
  • Decision support systems in clinical settings
  • Big data applications in healthcare
  • Machine learning for health data analysis
  • Data visualization for healthcare insights
  • Integration of AI in healthcare decision-making
  • Challenges in healthcare data management
  • Ethics of data use in healthcare
  • Patient privacy and data security issues
  • Real-time data processing in healthcare
  • Healthcare analytics for chronic diseases
  • Telemedicine and data-driven decisions
  • Impact of data mining on patient care
  • Healthcare fraud detection using data mining
  • Interoperability of healthcare data systems
  • Role of data in personalized medicine
  • Healthcare data governance frameworks
  • Trends in healthcare analytics technologies
  • Case studies in healthcare data mining
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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