Open Science Research Excellence

ICDAH 2021 : International Conference on Data Analytics in Health

Bangkok, Thailand
March 8 - 9, 2021

Call for Papers

ICDAH 2021 : International Conference on Data Analytics in Health is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Data Analytics in Health. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Healthcare analytics
  • Health data analytics
  • Big data analytics in healthcare
  • Innovation and data science in healthcare
  • Analysis of research in healthcare data analytics
  • Healthcare analytics for quality and performance improvement
  • Information system and information technology in healthcare sectors
  • Healthcare analytics and data mining
  • Health data platforms
  • Evidence-based medicine
  • Using electronic health records as a source
  • Linguistic and text analysis for healthcare
  • Bayesian probability analysis in healthcare data
  • Internet of things for medical and healthcare applications
  • Novel signal processing methods for wearable and implantable biosensors
  • Big-data analytics for healthcare
  • Machine learning, scalable machine learning and deep learning algorithms for medical IoT
  • Novel devices and circuits, and architectural support for healthcare-aware IoT
  • Cloud-enabled ehealth solutions
  • Fog computing/edge clouds for healthcare cloud resource allocation and monitoring
  • Privacy preserving and security approaches for large scale analytics
  • Case studies of smart eHealth architectures
  • Big data for electronic health records
  • Users’ perspective of security, privacy and trust in big data analytics.
  • Big data applications in context-sensitive targeted populations
  • Big data enabled user studies in decision making in healthcare
  • Mobile applications and infrastructure technologies in big data application.
  • Evaluation of impact of big data application on modernized healthcare
  • Theoretical constructs, models, architectures and conceptualizations for big data application
  • Location Based big data application for citizen, professionals and organizations
  • Social, cultural, legislative and economical barriers in big data practice
  • Big data for cost minimization in healthcare delivery
  • Big data applications in healthcare by the government and its policies
  • Big data for chorionic patient management and disease outbreak management