TOPICS OF INTEREST

Potential topics include, but are not limited to:
  • Large-scale data acquisition and management issues for public health
  • Social and other network-based analysis for public health
  • Medical big data mining and innovative applications
  • Mining risk patterns in medical data
  • Mental and physical health data integration
  • Biomarker discovery and biomedical data mining
  • Clinical data mining for practice knowledge building
  • Data mining from clinical decision-making, and practitioner reflection
  • Data mining from genetic data of diseases
  • Data mining for disease profiling and personalized treatment
  • Data mining for (active) syndromic surveillance
  • Data mining for infectious/chronic disease epidemiology and control
  • Data mining for exploring hidden patterns in clinical systems
  • Data mining for medical/biomedical, and healthcare systems
  • Data mining for assistive environments
  • Data modeling and information management for pervasive assistive environments
  • Data mining and knowledge modeling for wellness
  • Spatiotemporal data exploration and mining of diseases
  • Unstructured data mining in medicine and healthcare
  • Semantic data mining in medicine and healthcare
  • Scalable data integration in medicine and healthcare
  • Evidence-based decision-support systems
  • Healthcare knowledge abstraction, classification, and summarization
  • Healthcare knowledge computerization, execution, inference, and representation