¡The agenda (updated on Jun 03) and instructions for the presentation are now available on the web!

32nd IEEE CBMS International Symposium on Computer-Based Medical Systems

The 32nd IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2019) will be held at Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain, from Wednesday 5th to Friday 7th of June 2019. Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2019 will consist of regular and special track sessions with technical contributions reviewed and selected by an international programme committee, as well as, keynote talks and tutorials given by leading experts in their fields. The CBMS 2019 edition also aims to host high-quality papers about industry and real case applications as well as allow to researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects.

We solicit submissions on previously unpublished research work. Example areas include but are not limited to:

  • Active and Healthy Ageing Systems and Data Analytics
  • Analytics and solutions in Public Health
  • Big Data Analytics in Healthcare
  • Bioinformatics
  • Biomedical Signal and Image Processing and Machine Vision
  • Cognitive Computing in Healthcare
  • Computer Supported Cooperative Work in Healthcare (CSCW)
  • Computer Vision in Medicine or Healthcare
  • Computer-based solutions in clinical decision support
  • Computer-based solutions in clinical research
  • Computer-based solutions in epidemiology
  • Content Analysis of Biomedical Image Data
  • Databases and blockchain in Medicine or Healthcare
  • Data Analysis and Knowledge Discovery in Medicine or Healthcare
  • Data mining and machine learning in clinical decision support
  • Data mining and machine learning in clinical research
  • Data mining and machine learning in epidemiology
  • Decision Support and Recommendation Systems in Medicine or Healthcare
  • e-Health
  • Human-Computer Interaction (HCI) in Healthcare
  • Knowledge Representation in Medicine or Healthcare
  • m-Health
  • Medical education using ICT
  • Medical Robotics, Intelligent Medical Devices, and Smart Technologies
  • Network and Telemedicine Systems
  • Radiomics and Radiogenomics
  • Serious Games for Healthcare
  • Software Systems in Medicine
  • Technology Enhanced Medical Education
  • Technology in Clinical and Healthcare Services Research
  • Web-Based Delivery of Medical Information

Prospective authors are expected to submit their contributions to the general track or one of the special tracks if relevant. Please see submission guidelines for further details.