We invite submissions in the following categories:

Long papers (4 pages): Long papers should present original research work.

Short papers (2 pages): Short papers can report on work in progress, new datasets, or methods of data collection. Position papers describing potential research challenges are also welcomed. 

We are pleased to announce that the authors of the best papers will be invited to submit extended versions for a special issue of the journal Artificial Intelligence In Medicine.

Papers must be formatted according to the camera-ready style for ECAI’16, and submitted electronically in PDF format through Easychair. Authorship is not anonymous.

Topic areas include, but are not limited to: 

  • Patient empowerment: Intelligent solutions to  empower citizens with  self-management of health conditions; Intelligent systems for glucose prediction and alarm generation; Artificial Intelligence-based insulin dose calculators,
  • Recommender systems for favouring adherence to treatment (food, exercise, healthy habits),
  • Artificial Intelligence methods for personalisation of diabetes management 
  • Clinical decision support tools to deal with the avalanche of data gathered by sensors; recommendations; monitoring and alarms,
  • Intelligent methods for information management in pathway related platforms
  • Prediction and prevention: Data mining approaches for risk prediction; Big data approaches to model and prevent diabetes comorbidities (renal, cardiovascular, …); Supporting the integration of heterogeneous data for a better understanding of the illness and patient personalization
  • Community tools:  Platforms for supporting research on Artificial Intelligence in Diabetes; Data sets for benchmarking