ML 2016 - 2016 Workshop on Machine Learning for Health: Learning to understand human disease

We welcome submissions to the workshop in topics of interest which include but are not limited to:
-- Supervised/semi-supervised/unsupervised learning for diseases and clinical data
-- Spatio/temporal/spatio-temporal analyses of disease progression
-- Image analysis of tissue sections
-- Large scale integration of omics data from patient samples
-- Methods for understanding inter/intra-sample heterogeneity
-- Networks analysis of disease related pathways
Format:
Please submit one page summary plus references via uai2016.mlforhealth-AT-gmail.com. Accepted submissions will be presented as contributed talks or posters.
Key Dates:
Submission deadline: May 10
Author Notification: May 20
Workshop: June 29