Call for Submissions
We are inviting original research submissions as well as ongoing research works, including Regular Papers (8-10 pages, references not counted towards the page limit), Short Papers (4-6 pages, excluding references), and Posters (1-2 pages, excluding references). All the accepted submissions will be appeared in the conference proceedings published by IEEE and will be made available via IEEE Xplore.
Paper and poster submissions must adhere to the IEEE Proceedings Format available here
for LaTex and Word (please, be sure to use the template's conference mode, see template documentation for details). Changing the template's font size, margins, inter-column spacing, or line spacing is prohibited. Each submission must be submitted as a single PDF file, formatted for 8.5" x 11" paper (i.e., US letter format).
The topics of interest include but not limited to applying the following AI technologies to the prevention, diagnosis, treatment, prognosis and engagement of CDM especially for Diabetes:
Health Data Processing, including big data technologies for processing heterogeneous health data such as medical data, image data, sensor data, behavior data, signal data and genetic data.
Machine Learning and Deep Learning, including applications of machine learning and deep learning in longitudinal data modeling, medical text analysis, and medical image analysis for predictive modeling, disease progression modeling, and medication recommendation.
Natural Language Processing, including but not limited to the following areas: named entity recognition, word sense disambiguation, relation extraction, syntactic parsing, semantic role labeling, topic modeling, and discourse analysis.
Knowledge Discovery and Representation, including semantic annotation on healthcare data, semantic reasoning and inference and graph based knowledge representation.
Human-Computer Interaction, including data/model visualization, dialog-based or communication-based learning and advanced question answering.